Name: Coding for Beginners: You can Learn to Code!
Price: 135.99 GBP
Availability: InStock

<strong>This course is a complete course on Microsoft Azure storage service. The course is intended to help people learn Azure concepts quickly and give enough practice exercises to get them started with their cloud journey with a specific focus on Microsoft Azure.</strong>
        <p>One of the most critical tasks is choosing the right storage solution. Well, it is rightly so because storage is that much important. Choosing the right storage solution helps organizations ensure that their content is available globally and can be delivered smoothly and rapidly. Correct storage selection can also help reduce the operational costs associated with managing data.

Storage has a direct influence on your project cost, customer experience, application availability, and reliability. Also, in the era of work-from-home, you want to manage your storage right from your home office enjoying a nice cup of coffee. So, you expect your ideal storage to be allowing you to connect over the public internet in most cases.

This course is dedicated to the Microsoft Azure storage solution. You will learn how to deploy storage account, create containers, file shares, and migrate your data from scratch. Not just this but you will also explore various storage tools such as AzCopy, File Sync, Storage Explorer, and more.

We take the security of your data very seriously. So, at every step, you will understand in crisp clear terms what are the security recommendations associated with each of the storage components discussed in the course.

All the resource files are uploaded on the GitHub repository at https://github.com/PacktPublishing/Microsoft-Azure-Storage---The-Complete-Guide</p>
        <h2>What You Will Learn</h2><p>Introduction to and creating Azure storage account<br>Understand types, storage tiers, and encryption<br>Static website hosting and custom domain settings<br>Deploy and configure Azure file sync<br>Shared access keys and signature<br>Master in Azure blobs, files, file sync, solving real-world problems</p>
        <h2>Audience</h2><p>This course can be taken by absolute beginners including candidates with non-technical backgrounds, such as those involved in selling or purchasing and involved with cloud-based solutions/services, as well as those with a technical background who have a need to validate their foundational-level knowledge around cloud services and Azure. A system administrator using cloud services in their day-to-day life will benefit the most.<br><br>You should have the zeal to learn new concepts and stay up to date with technology and some basic awareness of cloud concepts is recommended but not mandatory.</p>
        <h2>Approach</h2><p>The course has hands-on practical exercises, and its short and crisp content on Microsoft Azure storage is very easy to understand and execute.<br><br>This is a complete guide to sail you through your journey as a system administrator who is using cloud services from scratch.</p>
        <h2>Key Features</h2><p>A clear understanding of Azure cloud and storage concepts with real-world scenarios * Full of hands-on instructions, interesting and illustrative examples, and clear explanations * Project-based learning to explore new concepts in Azure cloud</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Microsoft-Azure-Storage---The-Complete-Guide</p>
        <h2>About the Author</h2><h3>Vijay Saini</h3><p>Vijay Saini is an accomplished IT professional who brings a wealth of expertise to the table. With a diversified background across multiple domains, Vijay has proven himself a valuable asset to his current role as a leading cloud service provider. His strong focus on automation has resulted in significant cost savings for the business, making him a valuable asset to the team.

Vijay is highly knowledgeable in the areas of Microsoft Azure, cloud technologies, DBMS, and Python, and is a specialist in automation using PowerShell. With a passion for teaching, Vijay has leveraged e-learning platforms to share his expertise with others, helping them develop their own skills and knowledge.</p>
        <h2>Course Outline</h2><h4>1. Introduction to Azure Storage</h4><p></p><br><h4>2. Course Download Material</h4><p></p><br><h4>3. Understanding Azure Storage Account</h4><p></p><br><h4>4. Understanding Azure Blobs</h4><p></p><br><h4>5. Managing Storage Account</h4><p></p><br><h4>6. Web Application Development : My Cloud Bucket</h4><p></p><br><h4>7. Understanding Azure Files</h4><p></p><br><h4>8. Azure File Sync</h4><p></p><br><h4>9. Azure Storage Data Transfer Tools</h4><p></p><br><h4>10. Learning Azure PowerShell ways to administer Azure Storage</h4><p></p>

This course is a complete course on Microsoft Azure storage service. The course is intended to help people learn Azure concepts quickly and give enough practice exercises to get them started with their cloud journey with a specific focus on Microsoft Azure.
One of the most critical tasks is choosing the right storage solution. Well, it is rightly so because storage is that much important. Choosing the right storage solution helps organizations ensure that their content is available globally and can be delivered smoothly and rapidly. Correct storage selection can also help reduce the operational costs associated with managing data. Storage has a direct influence on your project cost, customer experience, application availability, and reliability. Also, in the era of work-from-home, you want to manage your storage right from your home office enjoying a nice cup of coffee. So, you expect your ideal storage to be allowing you to connect over the public internet in most cases. This course is dedicated to the Microsoft Azure storage solution. You will learn how to deploy storage account, create containers, file shares, and migrate your data from scratch. Not just this but you will also explore various storage tools such as AzCopy, File Sync, Storage Explorer, and more. We take the security of your data very seriously. So, at every step, you will understand in crisp clear terms what are the security recommendations associated with each of the storage components discussed in the course. All the resource files are uploaded on the GitHub repository at https://github.com/PacktPublishing/Microsoft-Azure-Storage---The-Complete-Guide
What You Will Learn
Introduction to and creating Azure storage account
Understand types, storage tiers, and encryption
Static website hosting and custom domain settings
Deploy and configure Azure file sync
Shared access keys and signature
Master in Azure blobs, files, file sync, solving real-world problems
Audience
This course can be taken by absolute beginners including candidates with non-technical backgrounds, such as those involved in selling or purchasing and involved with cloud-based solutions/services, as well as those with a technical background who have a need to validate their foundational-level knowledge around cloud services and Azure. A system administrator using cloud services in their day-to-day life will benefit the most.

You should have the zeal to learn new concepts and stay up to date with technology and some basic awareness of cloud concepts is recommended but not mandatory.
Approach
The course has hands-on practical exercises, and its short and crisp content on Microsoft Azure storage is very easy to understand and execute.

This is a complete guide to sail you through your journey as a system administrator who is using cloud services from scratch.
Key Features
A clear understanding of Azure cloud and storage concepts with real-world scenarios * Full of hands-on instructions, interesting and illustrative examples, and clear explanations * Project-based learning to explore new concepts in Azure cloud
Github Repo
https://github.com/PacktPublishing/Microsoft-Azure-Storage---The-Complete-Guide
About the Author
Vijay Saini
Vijay Saini is an accomplished IT professional who brings a wealth of expertise to the table. With a diversified background across multiple domains, Vijay has proven himself a valuable asset to his current role as a leading cloud service provider. His strong focus on automation has resulted in significant cost savings for the business, making him a valuable asset to the team. Vijay is highly knowledgeable in the areas of Microsoft Azure, cloud technologies, DBMS, and Python, and is a specialist in automation using PowerShell. With a passion for teaching, Vijay has leveraged e-learning platforms to share his expertise with others, helping them develop their own skills and knowledge.
Course Outline
1. Introduction to Azure Storage

2. Course Download Material

3. Understanding Azure Storage Account

4. Understanding Azure Blobs

5. Managing Storage Account

6. Web Application Development : My Cloud Bucket

7. Understanding Azure Files

8. Azure File Sync

9. Azure Storage Data Transfer Tools

10. Learning Azure PowerShell ways to administer Azure Storage


Packt

Node.js

Cloud Computing

Microsoft Azure

This course is a complete course on Microsoft Azure storage service. The course is intended to help people learn Azure concepts quickly and give enough practice exercises to get them started with their cloud journey with a specific focus on Microsoft Azure.

Microsoft Azure Storage - The Complete Guide

General Admission

<strong>Understanding databases and SQL</strong>
        <p>Databases are incredibly important in the modern world, and may seem quite complex to most people. But they're easy to use if you know the right techniques and concepts. With this course, you'll get up to speed with the Structured Query Language (SQL) in an interactive, quick, and easy way. You'll be able to download and use the free trial version of Microsoft SQL Server and understand how to use it confidently. 

You'll start by learning fundamental database concepts, gradually understanding what databases, tables, rows and columns, and data types are. Next, you'll explore how to set up and use Microsoft SQL Server. The course will then delve into SQL, focusing on basic concepts such as SELECT statements; Where, And, or Not; and How to Order and Group By. As you progress, you'll gain insights into comprehensive topics such as Having and Top Clauses; Select Distinct; Union; and Functions. Finally, you'll focus on advanced concepts including Insert and Update Statements; Deleting and Altering Tables; Joining Tables; Primary Keys; and Indexing.

By the end of this course, you'll have the skills you need to effectively use databases with SQL.</p>
        <h2>What You Will Learn</h2><p>Discover the fundamentals of Microsoft SQL Server<br>Explore conditions<br>Understand how to experiment with tables<br>Work with functions</p>
        <h2>Audience</h2><p>This course is for beginners who want to learn SQL, or anyone who wants to understand how to build databases using Microsoft SQL Server.</p>
        <h2>Approach</h2><p>This course will demonstrate how to build databases with Microsoft SQL Server from scratch. You'll cover the theory and implementation through real-world examples.</p>
        <h2>Key Features</h2><p>Install and use Microsoft SQL Server * Gain a basic understanding of databases and their use * Explore SQL and use it with databases</p>
        
        <h2>About the Author</h2><h3>John Elder</h3><p>John Elder is a pioneer in Web Development who created one of the first Internet advertising networks back in 1997. He sold it to a publicly traded company at the height of the dot com boom and then went on to create the best-selling Submission-Spider search engine submission software that's been used by over 3 million individuals and small businesses in over 45 countries.

John graduated with honors with a degree in economics from Washington University in St. Louis where he was an artsci scholar. Today he teaches Web Development courses at Codemy the online code school he founded.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>Introduction: Introduction</p></td></tr><tr><td style='padding: 15px;'><p>2. Database Concepts</p><p style='margin: 0'>Introduction: Database Concepts</p></td></tr><tr><td style='padding: 15px;'><p>3. Data Types</p><p style='margin: 0'>Introduction: Data Types</p></td></tr></tbody></table><br><h4>2. Installation and Setup</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Download and Install SQL Server</p><p style='margin: 0'>Installation and Setup: Download and Install SQL Server</p></td></tr><tr><td style='padding: 15px;'><p>2. Download and Install SSMS</p><p style='margin: 0'>Installation and Setup: Download and Install SSMS</p></td></tr><tr><td style='padding: 15px;'><p>3. Connect To Server</p><p style='margin: 0'>Installation and Setup: Connect To Server</p></td></tr><tr><td style='padding: 15px;'><p>4. System Databases</p><p style='margin: 0'>Installation and Setup: System Databases</p></td></tr><tr><td style='padding: 15px;'><p>5. Creating a Database and Table</p><p style='margin: 0'>Installation and Setup: Creating a Database and Table</p></td></tr><tr><td style='padding: 15px;'><p>6. Adding Data To A Table</p><p style='margin: 0'>Installation and Setup: Adding Data To A Table</p></td></tr></tbody></table><br><h4>3. Structured Query Language - SQL</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Intro To SQL</p><p style='margin: 0'>Structured Query Language - SQL: Intro To SQL</p></td></tr><tr><td style='padding: 15px;'><p>2. Select Statements</p><p style='margin: 0'>Structured Query Language - SQL: Select Statements</p></td></tr><tr><td style='padding: 15px;'><p>3. Where Clause</p><p style='margin: 0'>Structured Query Language - SQL: Where Clause</p></td></tr><tr><td style='padding: 15px;'><p>4. And or Not</p><p style='margin: 0'>Structured Query Language - SQL: And or Not</p></td></tr><tr><td style='padding: 15px;'><p>5. Order By</p><p style='margin: 0'>Structured Query Language - SQL: Order By</p></td></tr><tr><td style='padding: 15px;'><p>6. Group By</p><p style='margin: 0'>Structured Query Language - SQL: Group By</p></td></tr><tr><td style='padding: 15px;'><p>7. The Having Clause</p><p style='margin: 0'>Structured Query Language - SQL: The Having Clause</p></td></tr><tr><td style='padding: 15px;'><p>8. The Top Clause</p><p style='margin: 0'>Structured Query Language - SQL: The Top Clause</p></td></tr><tr><td style='padding: 15px;'><p>9. Select Distinct</p><p style='margin: 0'>Structured Query Language - SQL: Select Distinct</p></td></tr><tr><td style='padding: 15px;'><p>10. Union</p><p style='margin: 0'>Structured Query Language - SQL: Union</p></td></tr><tr><td style='padding: 15px;'><p>11. Functions</p><p style='margin: 0'>Structured Query Language - SQL: Functions</p></td></tr><tr><td style='padding: 15px;'><p>12. Insert Statement</p><p style='margin: 0'>Structured Query Language - SQL: Insert Statement</p></td></tr><tr><td style='padding: 15px;'><p>13. Update Statement</p><p style='margin: 0'>Structured Query Language - SQL: Update Statement</p></td></tr><tr><td style='padding: 15px;'><p>14. Delete Statement</p><p style='margin: 0'>Structured Query Language - SQL: Delete Statement</p></td></tr><tr><td style='padding: 15px;'><p>15. Alter Table</p><p style='margin: 0'>Structured Query Language - SQL: Alter Table</p></td></tr><tr><td style='padding: 15px;'><p>16. Null</p><p style='margin: 0'>Structured Query Language - SQL: Null</p></td></tr><tr><td style='padding: 15px;'><p>17. Creating A Table</p><p style='margin: 0'>Structured Query Language - SQL: Creating A Table</p></td></tr><tr><td style='padding: 15px;'><p>18. Drop Table</p><p style='margin: 0'>Structured Query Language - SQL: Drop Table</p></td></tr><tr><td style='padding: 15px;'><p>19. Primary Key</p><p style='margin: 0'>Structured Query Language - SQL: Primary Key</p></td></tr><tr><td style='padding: 15px;'><p>20. Intro To Joining Tables</p><p style='margin: 0'>Structured Query Language - SQL: Intro To Joining Tables</p></td></tr><tr><td style='padding: 15px;'><p>21. Inner Join</p><p style='margin: 0'>Structured Query Language - SQL: Inner Join</p></td></tr><tr><td style='padding: 15px;'><p>22. Left, Right, and Outer Join</p><p style='margin: 0'>Structured Query Language - SQL: Left, Right, and Outer Join</p></td></tr><tr><td style='padding: 15px;'><p>23. Indexing</p><p style='margin: 0'>Structured Query Language - SQL: Indexing</p></td></tr></tbody></table>

Understanding databases and SQL
Databases are incredibly important in the modern world, and may seem quite complex to most people. But they're easy to use if you know the right techniques and concepts. With this course, you'll get up to speed with the Structured Query Language (SQL) in an interactive, quick, and easy way. You'll be able to download and use the free trial version of Microsoft SQL Server and understand how to use it confidently. You'll start by learning fundamental database concepts, gradually understanding what databases, tables, rows and columns, and data types are. Next, you'll explore how to set up and use Microsoft SQL Server. The course will then delve into SQL, focusing on basic concepts such as SELECT statements; Where, And, or Not; and How to Order and Group By. As you progress, you'll gain insights into comprehensive topics such as Having and Top Clauses; Select Distinct; Union; and Functions. Finally, you'll focus on advanced concepts including Insert and Update Statements; Deleting and Altering Tables; Joining Tables; Primary Keys; and Indexing. By the end of this course, you'll have the skills you need to effectively use databases with SQL.
What You Will Learn
Discover the fundamentals of Microsoft SQL Server
Explore conditions
Understand how to experiment with tables
Work with functions
Audience
This course is for beginners who want to learn SQL, or anyone who wants to understand how to build databases using Microsoft SQL Server.
Approach
This course will demonstrate how to build databases with Microsoft SQL Server from scratch. You'll cover the theory and implementation through real-world examples.
Key Features
Install and use Microsoft SQL Server * Gain a basic understanding of databases and their use * Explore SQL and use it with databases
About the Author
John Elder
John Elder is a pioneer in Web Development who created one of the first Internet advertising networks back in 1997. He sold it to a publicly traded company at the height of the dot com boom and then went on to create the best-selling Submission-Spider search engine submission software that's been used by over 3 million individuals and small businesses in over 45 countries. John graduated with honors with a degree in economics from Washington University in St. Louis where he was an artsci scholar. Today he teaches Web Development courses at Codemy the online code school he founded.
Course Outline
1. Introduction

1. Introduction
Introduction: Introduction
2. Database Concepts
Introduction: Database Concepts
3. Data Types
Introduction: Data Types
2. Installation and Setup

1. Download and Install SQL Server
Installation and Setup: Download and Install SQL Server
2. Download and Install SSMS
Installation and Setup: Download and Install SSMS
3. Connect To Server
Installation and Setup: Connect To Server
4. System Databases
Installation and Setup: System Databases
5. Creating a Database and Table
Installation and Setup: Creating a Database and Table
6. Adding Data To A Table
Installation and Setup: Adding Data To A Table
3. Structured Query Language - SQL

1. Intro To SQL
Structured Query Language - SQL: Intro To SQL
2. Select Statements
Structured Query Language - SQL: Select Statements
3. Where Clause
Structured Query Language - SQL: Where Clause
4. And or Not
Structured Query Language - SQL: And or Not
5. Order By
Structured Query Language - SQL: Order By
6. Group By
Structured Query Language - SQL: Group By
7. The Having Clause
Structured Query Language - SQL: The Having Clause
8. The Top Clause
Structured Query Language - SQL: The Top Clause
9. Select Distinct
Structured Query Language - SQL: Select Distinct
10. Union
Structured Query Language - SQL: Union
11. Functions
Structured Query Language - SQL: Functions
12. Insert Statement
Structured Query Language - SQL: Insert Statement
13. Update Statement
Structured Query Language - SQL: Update Statement
14. Delete Statement
Structured Query Language - SQL: Delete Statement
15. Alter Table
Structured Query Language - SQL: Alter Table
16. Null
Structured Query Language - SQL: Null
17. Creating A Table
Structured Query Language - SQL: Creating A Table
18. Drop Table
Structured Query Language - SQL: Drop Table
19. Primary Key
Structured Query Language - SQL: Primary Key
20. Intro To Joining Tables
Structured Query Language - SQL: Intro To Joining Tables
21. Inner Join
Structured Query Language - SQL: Inner Join
22. Left, Right, and Outer Join
Structured Query Language - SQL: Left, Right, and Outer Join
23. Indexing
Structured Query Language - SQL: Indexing

Microsoft SQL Server

SQL Server

Learn SQL with Microsoft SQL Server

<strong>Understand how to use AWS IAM to run AWS resources securely against cloud hacks</strong>
        <p>This course is a comprehensive guide for cloud, security, and software engineers to learn how to avoid security breaches that can affect your business. Be ready to secure your AWS account, manage users, permissions, and roles, and keep control over your AWS cloud resource usage in under 3 hours! This security handbook covers the following topics: 

&bull;Managing AWS IAM users, roles, and groups 
&bull;Managing AWS IAM permission policies 
&bull;Understanding IAM identities 
&bull;Securing your AWS resources 
&bull;Enforcing fine-grained permissions for your AWS users 
&bull;Using encryption for stronger security

All the code and supporting files for this course are available at https://github.com/PacktPublishing/AWS-IAM-The-Cloud-Engineer-s-Security-Handbook</p>
        <h2>What You Will Learn</h2><p>Get well-versed with AWS IAM Identities <br>Manage and access AWS resources using AWS IAM <br>Understand AWS IAM custom policies <br>Discover best practice while working with AWS IAM <br>Explore the security features that you can implement with AWS IAM</p>
        <h2>Audience</h2><p>This course is for cloud engineers/architects, security consultants/architects, IT administrators, and software/DevOps engineers. Tech startup founders and Cloud/AWS enthusiasts will also find this course useful.</p>
        <h2>Approach</h2><p>This course will take you through all that you need to know to easily and efficiently control access to AWS Cloud services and resources with the help of step-by-step instructions.</p>
        <h2>Key Features</h2><p>Secure your AWS accounts  * Manage users, permissions, and roles effectively and easily  * Keep control over your AWS cloud resource usage</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/aws-iam-the-cloud-engineer-s-security-handbook</p>
        <h2>About the Author</h2><h3>Manuj Aggarwal</h3><p>Manuj Aggarwal is an entrepreneur, investor, and technology enthusiast. Over the last few years, he has been a business owner, technical architect, CTO, coder, start up consultant, and more.

Currently, he is the principal consultant, architect, and CTO of a software consulting company, TetraNoodle Technologies, based in Vancouver, Canada. He works with various start-ups on a number of cutting edge and interesting problems. Whether it is ideation and the refining of your start up idea, or building a dream team to execute the idea, he provides a diverse set of solutions that help these start-ups to succeed in their plans.

He has been active in the software industry since 1997, and has worked with early-stage businesses through to Fortune 100 mega-corporations. He is passionate about sharing all the knowledge that he has acquired over the years. He is particularly interested in helping technical and non-technical entrepreneurs, founders, and co-founders of tech start-ups.</p>
        <h2>Course Outline</h2><h4>1. Introduction and Course Overview</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to AWS IAM</p><p style='margin: 0'>Introduction and Course Overview: Introduction to AWS IAM</p></td></tr><tr><td style='padding: 15px;'><p>2. Course Overview</p><p style='margin: 0'>Introduction and Course Overview: Course Overview</p></td></tr><tr><td style='padding: 15px;'><p>3. Why We Need to Learn AWS IAM</p><p style='margin: 0'>Introduction and Course Overview: Why We Need to Learn AWS IAM</p></td></tr><tr><td style='padding: 15px;'><p>4. Who Uses AWS IAM</p><p style='margin: 0'>Introduction and Course Overview: Who Uses AWS IAM</p></td></tr><tr><td style='padding: 15px;'><p>5. Download Resources</p><p style='margin: 0'>Introduction and Course Overview: Download Resources</p></td></tr><tr><td style='padding: 15px;'><p>6. Get Ready for AWS IAM</p><p style='margin: 0'>Introduction and Course Overview: Get Ready for AWS IAM</p></td></tr></tbody></table><br><h4>2. Getting Started with AWS IAM</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Get ready with AWS IAM</p><p style='margin: 0'>Getting Started with AWS IAM: Get ready with AWS IAM</p></td></tr><tr><td style='padding: 15px;'><p>2. AWS IAM access made easy</p><p style='margin: 0'>Getting Started with AWS IAM: AWS IAM access made easy</p></td></tr><tr><td style='padding: 15px;'><p>3. Login to AWS as root user</p><p style='margin: 0'>Getting Started with AWS IAM: Login to AWS as root user</p></td></tr></tbody></table><br><h4>3. AWS Identities</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. AWS identities</p><p style='margin: 0'>AWS Identities: AWS identities</p></td></tr><tr><td style='padding: 15px;'><p>2. Introduction to AWS identities</p><p style='margin: 0'>AWS Identities: Introduction to AWS identities</p></td></tr><tr><td style='padding: 15px;'><p>3. Provision new AWS IAM user</p><p style='margin: 0'>AWS Identities: Provision new AWS IAM user</p></td></tr><tr><td style='padding: 15px;'><p>4. Sign in as new AWS IAM user</p><p style='margin: 0'>AWS Identities: Sign in as new AWS IAM user</p></td></tr><tr><td style='padding: 15px;'><p>5. Manage AWS IAM groups</p><p style='margin: 0'>AWS Identities: Manage AWS IAM groups</p></td></tr><tr><td style='padding: 15px;'><p>6. Manage AWS IAM roles</p><p style='margin: 0'>AWS Identities: Manage AWS IAM roles</p></td></tr><tr><td style='padding: 15px;'><p>7. Module Recap and Activity</p><p style='margin: 0'>AWS Identities: Module Recap and Activity</p></td></tr></tbody></table><br><h4>4. AWS IAM Access Management</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. AWS IAM access management</p><p style='margin: 0'>AWS IAM Access Management: AWS IAM access management</p></td></tr><tr><td style='padding: 15px;'><p>2. Deploy AWS EC2 instance</p><p style='margin: 0'>AWS IAM Access Management: Deploy AWS EC2 instance</p></td></tr><tr><td style='padding: 15px;'><p>3. Accessing AWS resources using CLI</p><p style='margin: 0'>AWS IAM Access Management: Accessing AWS resources using CLI</p></td></tr><tr><td style='padding: 15px;'><p>4. Enable / disable AWS IAM keys</p><p style='margin: 0'>AWS IAM Access Management: Enable / disable AWS IAM keys</p></td></tr><tr><td style='padding: 15px;'><p>5. AWS IAM roles</p><p style='margin: 0'>AWS IAM Access Management: AWS IAM roles</p></td></tr><tr><td style='padding: 15px;'><p>6. Create custom AWS IAM policy</p><p style='margin: 0'>AWS IAM Access Management: Create custom AWS IAM policy</p></td></tr><tr><td style='padding: 15px;'><p>7. Custom IAM policies with code</p><p style='margin: 0'>AWS IAM Access Management: Custom IAM policies with code</p></td></tr><tr><td style='padding: 15px;'><p>8. Module Recap and Activity</p><p style='margin: 0'>AWS IAM Access Management: Module Recap and Activity</p></td></tr></tbody></table><br><h4>5. Securing AWS Resources</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Securing AWS resources</p><p style='margin: 0'>Securing AWS Resources: Securing AWS resources</p></td></tr><tr><td style='padding: 15px;'><p>2. Setup password policies</p><p style='margin: 0'>Securing AWS Resources: Setup password policies</p></td></tr><tr><td style='padding: 15px;'><p>3. Implement MFA for AWS IAM users</p><p style='margin: 0'>Securing AWS Resources: Implement MFA for AWS IAM users</p></td></tr><tr><td style='padding: 15px;'><p>4. AWS IAM policy simulation</p><p style='margin: 0'>Securing AWS Resources: AWS IAM policy simulation</p></td></tr><tr><td style='padding: 15px;'><p>5. Web identity federation</p><p style='margin: 0'>Securing AWS Resources: Web identity federation</p></td></tr><tr><td style='padding: 15px;'><p>6. Encryption key management</p><p style='margin: 0'>Securing AWS Resources: Encryption key management</p></td></tr><tr><td style='padding: 15px;'><p>7. Best practices for AWS IAM</p><p style='margin: 0'>Securing AWS Resources: Best practices for AWS IAM</p></td></tr><tr><td style='padding: 15px;'><p>8. Course recap</p><p style='margin: 0'>Securing AWS Resources: Course recap</p></td></tr></tbody></table>

Understand how to use AWS IAM to run AWS resources securely against cloud hacks
This course is a comprehensive guide for cloud, security, and software engineers to learn how to avoid security breaches that can affect your business. Be ready to secure your AWS account, manage users, permissions, and roles, and keep control over your AWS cloud resource usage in under 3 hours! This security handbook covers the following topics: •Managing AWS IAM users, roles, and groups •Managing AWS IAM permission policies •Understanding IAM identities •Securing your AWS resources •Enforcing fine-grained permissions for your AWS users •Using encryption for stronger security All the code and supporting files for this course are available at https://github.com/PacktPublishing/AWS-IAM-The-Cloud-Engineer-s-Security-Handbook
What You Will Learn
Get well-versed with AWS IAM Identities 
Manage and access AWS resources using AWS IAM 
Understand AWS IAM custom policies 
Discover best practice while working with AWS IAM 
Explore the security features that you can implement with AWS IAM
Audience
This course is for cloud engineers/architects, security consultants/architects, IT administrators, and software/DevOps engineers. Tech startup founders and Cloud/AWS enthusiasts will also find this course useful.
Approach
This course will take you through all that you need to know to easily and efficiently control access to AWS Cloud services and resources with the help of step-by-step instructions.
Key Features
Secure your AWS accounts * Manage users, permissions, and roles effectively and easily * Keep control over your AWS cloud resource usage
Github Repo
https://github.com/packtpublishing/aws-iam-the-cloud-engineer-s-security-handbook
About the Author
Manuj Aggarwal
Manuj Aggarwal is an entrepreneur, investor, and technology enthusiast. Over the last few years, he has been a business owner, technical architect, CTO, coder, start up consultant, and more. Currently, he is the principal consultant, architect, and CTO of a software consulting company, TetraNoodle Technologies, based in Vancouver, Canada. He works with various start-ups on a number of cutting edge and interesting problems. Whether it is ideation and the refining of your start up idea, or building a dream team to execute the idea, he provides a diverse set of solutions that help these start-ups to succeed in their plans. He has been active in the software industry since 1997, and has worked with early-stage businesses through to Fortune 100 mega-corporations. He is passionate about sharing all the knowledge that he has acquired over the years. He is particularly interested in helping technical and non-technical entrepreneurs, founders, and co-founders of tech start-ups.
Course Outline
1. Introduction and Course Overview

1. Introduction to AWS IAM
Introduction and Course Overview: Introduction to AWS IAM
2. Course Overview
Introduction and Course Overview: Course Overview
3. Why We Need to Learn AWS IAM
Introduction and Course Overview: Why We Need to Learn AWS IAM
4. Who Uses AWS IAM
Introduction and Course Overview: Who Uses AWS IAM
5. Download Resources
Introduction and Course Overview: Download Resources
6. Get Ready for AWS IAM
Introduction and Course Overview: Get Ready for AWS IAM
2. Getting Started with AWS IAM

1. Get ready with AWS IAM
Getting Started with AWS IAM: Get ready with AWS IAM
2. AWS IAM access made easy
Getting Started with AWS IAM: AWS IAM access made easy
3. Login to AWS as root user
Getting Started with AWS IAM: Login to AWS as root user
3. AWS Identities

1. AWS identities
AWS Identities: AWS identities
2. Introduction to AWS identities
AWS Identities: Introduction to AWS identities
3. Provision new AWS IAM user
AWS Identities: Provision new AWS IAM user
4. Sign in as new AWS IAM user
AWS Identities: Sign in as new AWS IAM user
5. Manage AWS IAM groups
AWS Identities: Manage AWS IAM groups
6. Manage AWS IAM roles
AWS Identities: Manage AWS IAM roles
7. Module Recap and Activity
AWS Identities: Module Recap and Activity
4. AWS IAM Access Management

1. AWS IAM access management
AWS IAM Access Management: AWS IAM access management
2. Deploy AWS EC2 instance
AWS IAM Access Management: Deploy AWS EC2 instance
3. Accessing AWS resources using CLI
AWS IAM Access Management: Accessing AWS resources using CLI
4. Enable / disable AWS IAM keys
AWS IAM Access Management: Enable / disable AWS IAM keys
5. AWS IAM roles
AWS IAM Access Management: AWS IAM roles
6. Create custom AWS IAM policy
AWS IAM Access Management: Create custom AWS IAM policy
7. Custom IAM policies with code
AWS IAM Access Management: Custom IAM policies with code
8. Module Recap and Activity
AWS IAM Access Management: Module Recap and Activity
5. Securing AWS Resources

1. Securing AWS resources
Securing AWS Resources: Securing AWS resources
2. Setup password policies
Securing AWS Resources: Setup password policies
3. Implement MFA for AWS IAM users
Securing AWS Resources: Implement MFA for AWS IAM users
4. AWS IAM policy simulation
Securing AWS Resources: AWS IAM policy simulation
5. Web identity federation
Securing AWS Resources: Web identity federation
6. Encryption key management
Securing AWS Resources: Encryption key management
7. Best practices for AWS IAM
Securing AWS Resources: Best practices for AWS IAM
8. Course recap
Securing AWS Resources: Course recap

Security

Understand how to use AWS IAM to run AWS resources securely against cloud hacks

AWS IAM: The Cloud Engineer's Security Handbook

<strong>The underlying patterns in your data hold vital insights; unearth them with cutting-edge clustering and classification techniques in R</strong>
        <p>This course is your complete guide to both supervised and unsupervised learning using R. This course covers all the main aspects of practical data science; if you take this course, there is no need to take other courses or buy books on R-based data science. In this age of big data, companies across the Globe use R to sift through the avalanche of information at their disposal. By becoming proficient in unsupervised and supervised learning in R, you can give your company a competitive edge and take your career to the next level.

Over the course of research, the author realized that almost all the R data science courses and books out there do take account of the multidimensional nature of the topic. This course will give you a robust grounding in the main aspects of machine learning: clustering and classification. Unlike other R instructors, the author digs deep into R's machine learning features and give you a one-of-a-kind grounding in data science! You will go all the way from carrying out data reading & cleaning to machine learning, to finally implementing powerful machine learning algorithms and evaluating their performance via R.
The following topics will be covered: - 
&bull; A full introduction to the R Framework for data science 
&bull; Data structures and reading in R, including CSV, Excel, and HTML data 
&bull; How to pre-process and clean data by removing NAs/No data, visualization 
&bull; Machine learning, supervised learning, and unsupervised learning in R 
&bull; Model building and selection and much more!

The course will help you implement methods using real data obtained from different sources. Many courses use made-up data that does not empower students to implement R-based data science in real life. After taking this course, you'll easily use data science packages such as Caret to work with real data in R. You'll even understand concepts such as unsupervised learning, dimension reduction, and supervised learning. 

All the code and supporting files for this course are available at - https://github.com/PacktPublishing/Clustering-and-Classification-with-Machine-Learning-in-R</p>
        <h2>What You Will Learn</h2><p>Read-in data into the R environment from different sources<br>Carry out basic data pre-processing and wrangling in R Studio<br>Implement unsupervised/clustering techniques such as K-means clustering<br>Implement dimensional reduction techniques (PCA) and feature selection<br>Implement supervised learning techniques/classification such as Random Forests<br>Evaluate model performance and learn the best practices for evaluating machine learning model accuracy</p>
        <h2>Audience</h2><p>This course is for students interested in getting started with data science applications in the R Studio environment. Students wishing to learn how to implement unsupervised learning on real data. Anyone with prior exposure to R who wants to get started with practical data science.</p>
        <h2>Approach</h2><p>Every video is packed with hands-on instructions and clear explanations. Real data has been used to demonstrate how to implement these techniques in real life, on your data.</p>
        <h2>Key Features</h2><p>Provides in-depth training in everything you need to know to get started with practical R data science * Jargon-free and suitable for people who have a non-mathematical background * In-depth coverage of the latest unsupervised and supervised techniques </p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/clustering-and-classification-with-machine-learning-in-r</p>
        <h2>About the Author</h2><h3>Minerva Singh</h3><p>Minerva Singh is a PhD graduate from Cambridge University where she specialized in Tropical Ecology. She is also a part-time Data Scientist. As part of her research, she must carry out extensive data analysis, including spatial data analysis. For this purpose, she prefers to use a combination of freeware tools: R, QGIS, and Python. She does most of her spatial data analysis work using R and QGIS. Apart from being free, these are very powerful tools for data visualization, processing, and analysis. She also holds an MPhil degree in Geography and Environment from Oxford University. She has honed her statistical and data analysis skills through several MOOCs, including The Analytics Edge and Statistical. In addition to spatial data analysis, she is also proficient in statistical analysis, machine learning, and data mining.</p>
        <h2>Course Outline</h2><h4>1. Introduction to the Course</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Welcome to Clustering & Classification with Machine Learning in R</p><p style='margin: 0'>Introduction to the Course: Welcome to Clustering & Classification with Machine Learning in R</p></td></tr><tr><td style='padding: 15px;'><p>2. Installing R and R Studio</p><p style='margin: 0'>Introduction to the Course: Installing R and R Studio</p></td></tr></tbody></table><br><h4>2. Read in Data from Different Sources in R</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Read in CSV & Excel Data</p><p style='margin: 0'>Read in Data from Different Sources in R: Read in CSV & Excel Data</p></td></tr><tr><td style='padding: 15px;'><p>2. Read in Unzipped Folder</p><p style='margin: 0'>Read in Data from Different Sources in R: Read in Unzipped Folder</p></td></tr><tr><td style='padding: 15px;'><p>3. Read in Online CSV</p><p style='margin: 0'>Read in Data from Different Sources in R: Read in Online CSV</p></td></tr><tr><td style='padding: 15px;'><p>4. Read in Googlesheets</p><p style='margin: 0'>Read in Data from Different Sources in R: Read in Googlesheets</p></td></tr><tr><td style='padding: 15px;'><p>5. Read in Data from Online HTML Tables-Part 1</p><p style='margin: 0'>Read in Data from Different Sources in R: Read in Data from Online HTML Tables-Part 1</p></td></tr><tr><td style='padding: 15px;'><p>6. Read in Data from Online HTML Tables-Part 2</p><p style='margin: 0'>Read in Data from Different Sources in R: Read in Data from Online HTML Tables-Part 2</p></td></tr><tr><td style='padding: 15px;'><p>7. Read Data from a Database</p><p style='margin: 0'>Read in Data from Different Sources in R: Read Data from a Database</p></td></tr></tbody></table><br><h4>3. Data Pre-processing and Visualization</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Remove Missing Values</p><p style='margin: 0'>Data Pre-processing and Visualization: Remove Missing Values</p></td></tr><tr><td style='padding: 15px;'><p>2. More Data Cleaning</p><p style='margin: 0'>Data Pre-processing and Visualization: More Data Cleaning</p></td></tr><tr><td style='padding: 15px;'><p>3. Introduction to dplyr for Data Summarizing-Part 1</p><p style='margin: 0'>Data Pre-processing and Visualization: Introduction to dplyr for Data Summarizing-Part 1</p></td></tr><tr><td style='padding: 15px;'><p>4. Introduction to dplyr for Data Summarizing-Part 2</p><p style='margin: 0'>Data Pre-processing and Visualization: Introduction to dplyr for Data Summarizing-Part 2</p></td></tr><tr><td style='padding: 15px;'><p>5. Exploratory Data Analysis (EDA): Basic Visualizations with R</p><p style='margin: 0'>Data Pre-processing and Visualization: Exploratory Data Analysis (EDA): Basic Visualizations with R</p></td></tr><tr><td style='padding: 15px;'><p>6. More Exploratory Data Analysis with xda</p><p style='margin: 0'>Data Pre-processing and Visualization: More Exploratory Data Analysis with xda</p></td></tr><tr><td style='padding: 15px;'><p>7. Data Exploration & Visualization With dplyr & ggplot2</p><p style='margin: 0'>Data Pre-processing and Visualization: Data Exploration & Visualization With dplyr & ggplot2</p></td></tr><tr><td style='padding: 15px;'><p>8. Associations Between Quantitative Variables- Theory</p><p style='margin: 0'>Data Pre-processing and Visualization: Associations Between Quantitative Variables- Theory</p></td></tr><tr><td style='padding: 15px;'><p>9. Testing for Correlation</p><p style='margin: 0'>Data Pre-processing and Visualization: Testing for Correlation</p></td></tr><tr><td style='padding: 15px;'><p>10. Evaluate the Relation Between Nominal Variables</p><p style='margin: 0'>Data Pre-processing and Visualization: Evaluate the Relation Between Nominal Variables</p></td></tr><tr><td style='padding: 15px;'><p>11. Cramer's V for Examining the Strength of Association Between Nominal Variable</p><p style='margin: 0'>Data Pre-processing and Visualization: Cramer's V for Examining the Strength of Association Between Nominal Variable</p></td></tr></tbody></table><br><h4>4. Machine Learning for Data Science</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. How is Machine Learning Different from Statistical Data Analysis?</p><p style='margin: 0'>Machine Learning for Data Science: How is Machine Learning Different from Statistical Data Analysis?</p></td></tr><tr><td style='padding: 15px;'><p>2. What is Machine Learning (ML) About? Some Theoretical Pointers</p><p style='margin: 0'>Machine Learning for Data Science: What is Machine Learning (ML) About? Some Theoretical Pointers</p></td></tr></tbody></table><br><h4>5. Unsupervised Learning in R</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. K-Means Clustering</p><p style='margin: 0'>Unsupervised Learning in R: K-Means Clustering</p></td></tr><tr><td style='padding: 15px;'><p>2. Other Ways of Selecting Cluster Numbers</p><p style='margin: 0'>Unsupervised Learning in R: Other Ways of Selecting Cluster Numbers</p></td></tr><tr><td style='padding: 15px;'><p>3. Fuzzy K-Means Clustering</p><p style='margin: 0'>Unsupervised Learning in R: Fuzzy K-Means Clustering</p></td></tr><tr><td style='padding: 15px;'><p>4. Weighted k-means</p><p style='margin: 0'>Unsupervised Learning in R: Weighted k-means</p></td></tr><tr><td style='padding: 15px;'><p>5. Partitioning Around Meloids (PAM)</p><p style='margin: 0'>Unsupervised Learning in R: Partitioning Around Meloids (PAM)</p></td></tr><tr><td style='padding: 15px;'><p>6. Hierarchical Clustering in R</p><p style='margin: 0'>Unsupervised Learning in R: Hierarchical Clustering in R</p></td></tr><tr><td style='padding: 15px;'><p>7. Expectation-Maximization (EM) in R</p><p style='margin: 0'>Unsupervised Learning in R: Expectation-Maximization (EM) in R</p></td></tr><tr><td style='padding: 15px;'><p>8. DBSCAN Clustering in R</p><p style='margin: 0'>Unsupervised Learning in R: DBSCAN Clustering in R</p></td></tr><tr><td style='padding: 15px;'><p>9. Cluster a Mixed Dataset</p><p style='margin: 0'>Unsupervised Learning in R: Cluster a Mixed Dataset</p></td></tr><tr><td style='padding: 15px;'><p>10. Should We Even Do Clustering?</p><p style='margin: 0'>Unsupervised Learning in R: Should We Even Do Clustering?</p></td></tr><tr><td style='padding: 15px;'><p>11. Assess Clustering Performance</p><p style='margin: 0'>Unsupervised Learning in R: Assess Clustering Performance</p></td></tr><tr><td style='padding: 15px;'><p>12. Which Clustering Algorithm to Choose?</p><p style='margin: 0'>Unsupervised Learning in R: Which Clustering Algorithm to Choose?</p></td></tr></tbody></table><br><h4>6. Feature/Dimension Reduction</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Dimension Reduction-theory</p><p style='margin: 0'>Feature/Dimension Reduction: Dimension Reduction-theory</p></td></tr><tr><td style='padding: 15px;'><p>2. Principal Component Analysis (PCA)</p><p style='margin: 0'>Feature/Dimension Reduction: Principal Component Analysis (PCA)</p></td></tr><tr><td style='padding: 15px;'><p>3. More on PCA</p><p style='margin: 0'>Feature/Dimension Reduction: More on PCA</p></td></tr><tr><td style='padding: 15px;'><p>4. Multidimensional Scaling</p><p style='margin: 0'>Feature/Dimension Reduction: Multidimensional Scaling</p></td></tr><tr><td style='padding: 15px;'><p>5. Singular Value Decomposition (SVD)</p><p style='margin: 0'>Feature/Dimension Reduction: Singular Value Decomposition (SVD)</p></td></tr></tbody></table><br><h4>7. Feature Selection to Select the Most Relevant Predictors</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Removing Highly Correlated Predictor Variables</p><p style='margin: 0'>Feature Selection to Select the Most Relevant Predictors: Removing Highly Correlated Predictor Variables</p></td></tr><tr><td style='padding: 15px;'><p>2. Variable Selection Using LASSO Regression</p><p style='margin: 0'>Feature Selection to Select the Most Relevant Predictors: Variable Selection Using LASSO Regression</p></td></tr><tr><td style='padding: 15px;'><p>3. Variable Selection with FSelector</p><p style='margin: 0'>Feature Selection to Select the Most Relevant Predictors: Variable Selection with FSelector</p></td></tr><tr><td style='padding: 15px;'><p>4. Boruta Analysis for Feature Selection</p><p style='margin: 0'>Feature Selection to Select the Most Relevant Predictors: Boruta Analysis for Feature Selection</p></td></tr></tbody></table><br><h4>8. Supervised Learning Theory</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Some Basic Supervised Learning Concepts</p><p style='margin: 0'>Supervised Learning Theory: Some Basic Supervised Learning Concepts</p></td></tr><tr><td style='padding: 15px;'><p>2. Pre-processing for Supervised Learning</p><p style='margin: 0'>Supervised Learning Theory: Pre-processing for Supervised Learning</p></td></tr></tbody></table><br><h4>9. Supervised Learning: Classification</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What are GLMs?</p><p style='margin: 0'>Supervised Learning: Classification: What are GLMs?</p></td></tr><tr><td style='padding: 15px;'><p>2. Logistic Regression Models as Binary Classifiers</p><p style='margin: 0'>Supervised Learning: Classification: Logistic Regression Models as Binary Classifiers</p></td></tr><tr><td style='padding: 15px;'><p>3. Binary Classifier with PCA</p><p style='margin: 0'>Supervised Learning: Classification: Binary Classifier with PCA</p></td></tr><tr><td style='padding: 15px;'><p>4. Some Pointers on Evaluating Accuracy</p><p style='margin: 0'>Supervised Learning: Classification: Some Pointers on Evaluating Accuracy</p></td></tr><tr><td style='padding: 15px;'><p>5. Obtain Binary Classification Accuracy Metrics</p><p style='margin: 0'>Supervised Learning: Classification: Obtain Binary Classification Accuracy Metrics</p></td></tr><tr><td style='padding: 15px;'><p>6. More on Binary Accuracy Measures</p><p style='margin: 0'>Supervised Learning: Classification: More on Binary Accuracy Measures</p></td></tr><tr><td style='padding: 15px;'><p>7. Linear Discriminant Analysis</p><p style='margin: 0'>Supervised Learning: Classification: Linear Discriminant Analysis</p></td></tr><tr><td style='padding: 15px;'><p>8. Our Multi-class Classification Problem</p><p style='margin: 0'>Supervised Learning: Classification: Our Multi-class Classification Problem</p></td></tr><tr><td style='padding: 15px;'><p>9. Classification Trees</p><p style='margin: 0'>Supervised Learning: Classification: Classification Trees</p></td></tr><tr><td style='padding: 15px;'><p>10. More on Classification Tree Visualization</p><p style='margin: 0'>Supervised Learning: Classification: More on Classification Tree Visualization</p></td></tr><tr><td style='padding: 15px;'><p>11. Classification with Party Package</p><p style='margin: 0'>Supervised Learning: Classification: Classification with Party Package</p></td></tr><tr><td style='padding: 15px;'><p>12. Decision Trees</p><p style='margin: 0'>Supervised Learning: Classification: Decision Trees</p></td></tr><tr><td style='padding: 15px;'><p>13. Random Forest (RF) Classification</p><p style='margin: 0'>Supervised Learning: Classification: Random Forest (RF) Classification</p></td></tr><tr><td style='padding: 15px;'><p>14. Examine Individual Variable Importance for Random Forests</p><p style='margin: 0'>Supervised Learning: Classification: Examine Individual Variable Importance for Random Forests</p></td></tr><tr><td style='padding: 15px;'><p>15. GBM Classification</p><p style='margin: 0'>Supervised Learning: Classification: GBM Classification</p></td></tr><tr><td style='padding: 15px;'><p>16. Support Vector Machines (SVM) for Classification</p><p style='margin: 0'>Supervised Learning: Classification: Support Vector Machines (SVM) for Classification</p></td></tr><tr><td style='padding: 15px;'><p>17. More SVM for Classification</p><p style='margin: 0'>Supervised Learning: Classification: More SVM for Classification</p></td></tr><tr><td style='padding: 15px;'><p>18. Variable Importance in SVM Modelling with rminer</p><p style='margin: 0'>Supervised Learning: Classification: Variable Importance in SVM Modelling with rminer</p></td></tr></tbody></table><br><h4>10. Additional Lectures</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Fuzzy C-Means Clustering</p><p style='margin: 0'>Additional Lectures: Fuzzy C-Means Clustering</p></td></tr></tbody></table>

The underlying patterns in your data hold vital insights; unearth them with cutting-edge clustering and classification techniques in R
This course is your complete guide to both supervised and unsupervised learning using R. This course covers all the main aspects of practical data science; if you take this course, there is no need to take other courses or buy books on R-based data science. In this age of big data, companies across the Globe use R to sift through the avalanche of information at their disposal. By becoming proficient in unsupervised and supervised learning in R, you can give your company a competitive edge and take your career to the next level. Over the course of research, the author realized that almost all the R data science courses and books out there do take account of the multidimensional nature of the topic. This course will give you a robust grounding in the main aspects of machine learning: clustering and classification. Unlike other R instructors, the author digs deep into R's machine learning features and give you a one-of-a-kind grounding in data science! You will go all the way from carrying out data reading & cleaning to machine learning, to finally implementing powerful machine learning algorithms and evaluating their performance via R.
The following topics will be covered: - • A full introduction to the R Framework for data science • Data structures and reading in R, including CSV, Excel, and HTML data • How to pre-process and clean data by removing NAs/No data, visualization • Machine learning, supervised learning, and unsupervised learning in R • Model building and selection and much more! The course will help you implement methods using real data obtained from different sources. Many courses use made-up data that does not empower students to implement R-based data science in real life. After taking this course, you'll easily use data science packages such as Caret to work with real data in R. You'll even understand concepts such as unsupervised learning, dimension reduction, and supervised learning. All the code and supporting files for this course are available at - https://github.com/PacktPublishing/Clustering-and-Classification-with-Machine-Learning-in-R
What You Will Learn
Read-in data into the R environment from different sources
Carry out basic data pre-processing and wrangling in R Studio
Implement unsupervised/clustering techniques such as K-means clustering
Implement dimensional reduction techniques (PCA) and feature selection
Implement supervised learning techniques/classification such as Random Forests
Evaluate model performance and learn the best practices for evaluating machine learning model accuracy
Audience
This course is for students interested in getting started with data science applications in the R Studio environment. Students wishing to learn how to implement unsupervised learning on real data. Anyone with prior exposure to R who wants to get started with practical data science.
Approach
Every video is packed with hands-on instructions and clear explanations. Real data has been used to demonstrate how to implement these techniques in real life, on your data.
Key Features
Provides in-depth training in everything you need to know to get started with practical R data science * Jargon-free and suitable for people who have a non-mathematical background * In-depth coverage of the latest unsupervised and supervised techniques 
Github Repo
https://github.com/packtpublishing/clustering-and-classification-with-machine-learning-in-r
About the Author
Minerva Singh
Minerva Singh is a PhD graduate from Cambridge University where she specialized in Tropical Ecology. She is also a part-time Data Scientist. As part of her research, she must carry out extensive data analysis, including spatial data analysis. For this purpose, she prefers to use a combination of freeware tools: R, QGIS, and Python. She does most of her spatial data analysis work using R and QGIS. Apart from being free, these are very powerful tools for data visualization, processing, and analysis. She also holds an MPhil degree in Geography and Environment from Oxford University. She has honed her statistical and data analysis skills through several MOOCs, including The Analytics Edge and Statistical. In addition to spatial data analysis, she is also proficient in statistical analysis, machine learning, and data mining.
Course Outline
1. Introduction to the Course

1. Welcome to Clustering & Classification with Machine Learning in R
Introduction to the Course: Welcome to Clustering & Classification with Machine Learning in R
2. Installing R and R Studio
Introduction to the Course: Installing R and R Studio
2. Read in Data from Different Sources in R

1. Read in CSV & Excel Data
Read in Data from Different Sources in R: Read in CSV & Excel Data
2. Read in Unzipped Folder
Read in Data from Different Sources in R: Read in Unzipped Folder
3. Read in Online CSV
Read in Data from Different Sources in R: Read in Online CSV
4. Read in Googlesheets
Read in Data from Different Sources in R: Read in Googlesheets
5. Read in Data from Online HTML Tables-Part 1
Read in Data from Different Sources in R: Read in Data from Online HTML Tables-Part 1
6. Read in Data from Online HTML Tables-Part 2
Read in Data from Different Sources in R: Read in Data from Online HTML Tables-Part 2
7. Read Data from a Database
Read in Data from Different Sources in R: Read Data from a Database
3. Data Pre-processing and Visualization

1. Remove Missing Values
Data Pre-processing and Visualization: Remove Missing Values
2. More Data Cleaning
Data Pre-processing and Visualization: More Data Cleaning
3. Introduction to dplyr for Data Summarizing-Part 1
Data Pre-processing and Visualization: Introduction to dplyr for Data Summarizing-Part 1
4. Introduction to dplyr for Data Summarizing-Part 2
Data Pre-processing and Visualization: Introduction to dplyr for Data Summarizing-Part 2
5. Exploratory Data Analysis (EDA): Basic Visualizations with R
Data Pre-processing and Visualization: Exploratory Data Analysis (EDA): Basic Visualizations with R
6. More Exploratory Data Analysis with xda
Data Pre-processing and Visualization: More Exploratory Data Analysis with xda
7. Data Exploration & Visualization With dplyr & ggplot2
Data Pre-processing and Visualization: Data Exploration & Visualization With dplyr & ggplot2
8. Associations Between Quantitative Variables- Theory
Data Pre-processing and Visualization: Associations Between Quantitative Variables- Theory
9. Testing for Correlation
Data Pre-processing and Visualization: Testing for Correlation
10. Evaluate the Relation Between Nominal Variables
Data Pre-processing and Visualization: Evaluate the Relation Between Nominal Variables
11. Cramer's V for Examining the Strength of Association Between Nominal Variable
Data Pre-processing and Visualization: Cramer's V for Examining the Strength of Association Between Nominal Variable
4. Machine Learning for Data Science

1. How is Machine Learning Different from Statistical Data Analysis?
Machine Learning for Data Science: How is Machine Learning Different from Statistical Data Analysis?
2. What is Machine Learning (ML) About? Some Theoretical Pointers
Machine Learning for Data Science: What is Machine Learning (ML) About? Some Theoretical Pointers
5. Unsupervised Learning in R

1. K-Means Clustering
Unsupervised Learning in R: K-Means Clustering
2. Other Ways of Selecting Cluster Numbers
Unsupervised Learning in R: Other Ways of Selecting Cluster Numbers
3. Fuzzy K-Means Clustering
Unsupervised Learning in R: Fuzzy K-Means Clustering
4. Weighted k-means
Unsupervised Learning in R: Weighted k-means
5. Partitioning Around Meloids (PAM)
Unsupervised Learning in R: Partitioning Around Meloids (PAM)
6. Hierarchical Clustering in R
Unsupervised Learning in R: Hierarchical Clustering in R
7. Expectation-Maximization (EM) in R
Unsupervised Learning in R: Expectation-Maximization (EM) in R
8. DBSCAN Clustering in R
Unsupervised Learning in R: DBSCAN Clustering in R
9. Cluster a Mixed Dataset
Unsupervised Learning in R: Cluster a Mixed Dataset
10. Should We Even Do Clustering?
Unsupervised Learning in R: Should We Even Do Clustering?
11. Assess Clustering Performance
Unsupervised Learning in R: Assess Clustering Performance
12. Which Clustering Algorithm to Choose?
Unsupervised Learning in R: Which Clustering Algorithm to Choose?
6. Feature/Dimension Reduction

1. Dimension Reduction-theory
Feature/Dimension Reduction: Dimension Reduction-theory
2. Principal Component Analysis (PCA)
Feature/Dimension Reduction: Principal Component Analysis (PCA)
3. More on PCA
Feature/Dimension Reduction: More on PCA
4. Multidimensional Scaling
Feature/Dimension Reduction: Multidimensional Scaling
5. Singular Value Decomposition (SVD)
Feature/Dimension Reduction: Singular Value Decomposition (SVD)
7. Feature Selection to Select the Most Relevant Predictors

1. Removing Highly Correlated Predictor Variables
Feature Selection to Select the Most Relevant Predictors: Removing Highly Correlated Predictor Variables
2. Variable Selection Using LASSO Regression
Feature Selection to Select the Most Relevant Predictors: Variable Selection Using LASSO Regression
3. Variable Selection with FSelector
Feature Selection to Select the Most Relevant Predictors: Variable Selection with FSelector
4. Boruta Analysis for Feature Selection
Feature Selection to Select the Most Relevant Predictors: Boruta Analysis for Feature Selection
8. Supervised Learning Theory

1. Some Basic Supervised Learning Concepts
Supervised Learning Theory: Some Basic Supervised Learning Concepts
2. Pre-processing for Supervised Learning
Supervised Learning Theory: Pre-processing for Supervised Learning
9. Supervised Learning: Classification

1. What are GLMs?
Supervised Learning: Classification: What are GLMs?
2. Logistic Regression Models as Binary Classifiers
Supervised Learning: Classification: Logistic Regression Models as Binary Classifiers
3. Binary Classifier with PCA
Supervised Learning: Classification: Binary Classifier with PCA
4. Some Pointers on Evaluating Accuracy
Supervised Learning: Classification: Some Pointers on Evaluating Accuracy
5. Obtain Binary Classification Accuracy Metrics
Supervised Learning: Classification: Obtain Binary Classification Accuracy Metrics
6. More on Binary Accuracy Measures
Supervised Learning: Classification: More on Binary Accuracy Measures
7. Linear Discriminant Analysis
Supervised Learning: Classification: Linear Discriminant Analysis
8. Our Multi-class Classification Problem
Supervised Learning: Classification: Our Multi-class Classification Problem
9. Classification Trees
Supervised Learning: Classification: Classification Trees
10. More on Classification Tree Visualization
Supervised Learning: Classification: More on Classification Tree Visualization
11. Classification with Party Package
Supervised Learning: Classification: Classification with Party Package
12. Decision Trees
Supervised Learning: Classification: Decision Trees
13. Random Forest (RF) Classification
Supervised Learning: Classification: Random Forest (RF) Classification
14. Examine Individual Variable Importance for Random Forests
Supervised Learning: Classification: Examine Individual Variable Importance for Random Forests
15. GBM Classification
Supervised Learning: Classification: GBM Classification
16. Support Vector Machines (SVM) for Classification
Supervised Learning: Classification: Support Vector Machines (SVM) for Classification
17. More SVM for Classification
Supervised Learning: Classification: More SVM for Classification
18. Variable Importance in SVM Modelling with rminer
Supervised Learning: Classification: Variable Importance in SVM Modelling with rminer
10. Additional Lectures

1. Fuzzy C-Means Clustering
Additional Lectures: Fuzzy C-Means Clustering

HTML

The underlying patterns in your data hold vital insights; unearth them with cutting-edge clustering and classification techniques in R

Clustering and Classification with Machine Learning in R

Learn to build highly sophisticated deep learning and Computer Vision applications with PyTorch
PyTorch has rapidly become one of the most transformative frameworks in the field of deep learning. Since its release, PyTorch has completely changed the landscape of the deep learning domain with its flexibility and has made building deep learning models easier. The development world offers some of the highest paying jobs in deep learning. In this exciting course, instructor Rayan Slim will help you learn and master deep learning with PyTorch. Having taught over 44,000 students, Rayan is a highly rated and experienced instructor who has followed a learning-by-doing style to create this course. You'll go from a beginner to deep learning expert with your instructor completing each step of the task with you. By the end of this course, you will have built state-of-the-art deep learning and Computer Vision applications with PyTorch. The projects built in this course will impress even the most senior developers and ensure you have hands-on skills that you can bring to any project or organization.
All the code and supporting files for this course are available at https://github.com/PacktPublishing/PyTorch-for-Deep-Learning-and-Computer-Vision
What You Will Learn
Work with the tensor data structure
Implement machine and deep learning applications with PyTorch
Build neural networks from scratch
Build complex models through the applied theme of advanced imagery and Computer Vision
Solve complex problems in Computer Vision by harnessing highly sophisticated pre-trained models
Use style transfer to build sophisticated AI applications
Audience
This course is for you if you're interested in deep learning and Computer Vision. Anyone (no matter the skill level) who wants to transition into the field of artificial intelligence and entrepreneurs with an interest in working on some of the most cutting-edge technologies will find this course useful.
Approach
This course will take you right from the basics to building state-of-the-art deep learning and Computer Vision applications with PyTorch.
Key Features
This course is designed to help you become an accomplished deep learning developer even with no experience in programming or mathematics
Github Repo
https://github.com/packtpublishing/pytorch-for-deep-learning-and-computer-vision
Course Outline
1. Introduction
In this section, we are introduced to build state-of-the art Deep Learning and Computer Vision applications with PyTorch.
1. Introduction
Introduction: Introduction
2. Getting Started
In this section, we look into where can access the code files and projects.
1. Finding the codes (Github)
Getting Started: Finding the codes (Github)
2. (Free Preview): A Look at the Projects
Getting Started: A Look at the Projects
3. Intro to Tensors - PyTorch
In this section, we learn how to work with the tensor data structure.
1. Intro
Intro to Tensors - PyTorch: Intro
2. (Free Preview): 1 Dimensional Tensors
Intro to Tensors - PyTorch: 1 Dimensional Tensors
3. Vector Operations
Intro to Tensors - PyTorch: Vector Operations
4. 2 Dimensional Tensors
Intro to Tensors - PyTorch: 2 Dimensional Tensors
5. Slicing 3D Tensors
Intro to Tensors - PyTorch: Slicing 3D Tensors
6. Matrix Multiplication
Intro to Tensors - PyTorch: Matrix Multiplication
7. Gradient with PyTorch
Intro to Tensors - PyTorch: Gradient with PyTorch
8. Outro
Intro to Tensors - PyTorch: Outro
4. Linear Regression - PyTorch
This section is for you to get familiar with Machine Learning algorithm and trailing in linear model to properly fit a set of data points.
1. Intro
Linear Regression - PyTorch: Intro
2. Making Predictions
Linear Regression - PyTorch: Making Predictions
3. Linear Class
Linear Regression - PyTorch: Linear Class
4. Custom Modules
Linear Regression - PyTorch: Custom Modules
5. Creating Dataset
Linear Regression - PyTorch: Creating Dataset
6. Loss Function
Linear Regression - PyTorch: Loss Function
7. Gradient Descent
Linear Regression - PyTorch: Gradient Descent
8. Mean Squared Error
Linear Regression - PyTorch: Mean Squared Error
9. Training - Code Implementation
Linear Regression - PyTorch: Training - Code Implementation
10. Outro
Linear Regression - PyTorch: Outro
5. Perceptrons - PyTorch
We will make use of this section to cover any concepts of Perceptron's in great depth.
1. Intro
Perceptrons - PyTorch: Intro
2. What is Deep Learning
Perceptrons - PyTorch: What is Deep Learning
3. Creating Dataset
Perceptrons - PyTorch: Creating Dataset
4. Perceptron Model
Perceptrons - PyTorch: Perceptron Model
5. Model Setup
Perceptrons - PyTorch: Model Setup
6. Model Training
Perceptrons - PyTorch: Model Training
7. Model Testing
Perceptrons - PyTorch: Model Testing
8. Outro
Perceptrons - PyTorch: Outro
6. Deep Neural Networks - PyTorch
In this section, we learn to build deep Neural Networks from scratch.
1. Intro
Deep Neural Networks - PyTorch: Intro
2. Non-Linear Boundaries
Deep Neural Networks - PyTorch: Non-Linear Boundaries
3. Architecture
Deep Neural Networks - PyTorch: Architecture
4. Feedforward Process
Deep Neural Networks - PyTorch: Feedforward Process
5. Error Function
Deep Neural Networks - PyTorch: Error Function
6. Backpropagation
Deep Neural Networks - PyTorch: Backpropagation
7. Code Implementation
Deep Neural Networks - PyTorch: Code Implementation
8. Testing Model
Deep Neural Networks - PyTorch: Testing Model
9. Outro
Deep Neural Networks - PyTorch: Outro
7. Image Recognition - PyTorch
In this section, we are going to explore image datasets, talk about how we are going to use deep neural networks to have a model fit image data, we also extent our discussion to validation sets to validate neural nets.
1. Intro
Image Recognition - PyTorch: Intro
2. MNIST Dataset
Image Recognition - PyTorch: MNIST Dataset
3. Training and Test Datasets
Image Recognition - PyTorch: Training and Test Datasets
4. Image Transforms
Image Recognition - PyTorch: Image Transforms
5. Neural Network Implementation
Image Recognition - PyTorch: Neural Network Implementation
6. Neural Network Validation
Image Recognition - PyTorch: Neural Network Validation
7. Final Tests
Image Recognition - PyTorch: Final Tests
8. A note on adjusting batch size
Image Recognition - PyTorch: A note on adjusting batch size
9. Outro
Image Recognition - PyTorch: Outro
8. Convolutional Neural Networks - PyTorch
In this section, this type of neural network will change the way how we classify neural networks which classifies data with known grid like topology.
1. Convolutions and MNIST
Convolutional Neural Networks - PyTorch: Convolutions and MNIST
2. Convolutional Layer
Convolutional Neural Networks - PyTorch: Convolutional Layer
3. Convolutions II
Convolutional Neural Networks - PyTorch: Convolutions II
4. Pooling
Convolutional Neural Networks - PyTorch: Pooling
5. Fully Connected Network
Convolutional Neural Networks - PyTorch: Fully Connected Network
6. Neural Network Implementation with PyTorch
Convolutional Neural Networks - PyTorch: Neural Network Implementation with PyTorch
7. Model Training with PyTorch
Convolutional Neural Networks - PyTorch: Model Training with PyTorch
9. CIFAR 10 Classification - PyTorch
In this section, we look into CIFAR dataset and learn more about data augmentation.
1. The CIFAR 10 Dataset
CIFAR 10 Classification - PyTorch: The CIFAR 10 Dataset
2. Testing LeNet
CIFAR 10 Classification - PyTorch: Testing LeNet
3. Hyperparameter Tuning
CIFAR 10 Classification - PyTorch: Hyperparameter Tuning
4. Data Augmentation
CIFAR 10 Classification - PyTorch: Data Augmentation
10. Transfer Learning - PyTorch
In this section, we look into AlexNet and VGG16.
1. Pre-trained Sophisticated Models
Transfer Learning - PyTorch: Pre-trained Sophisticated Models
2. AlexNet and VGG16
Transfer Learning - PyTorch: AlexNet and VGG16
11. Style Transfer - PyTorch
In this section, use style transfer to build sophisticated AI applications.
1. VGG 19
Style Transfer - PyTorch: VGG 19
2. Image Transforms
Style Transfer - PyTorch: Image Transforms
3. Feature Extraction
Style Transfer - PyTorch: Feature Extraction
4. The Gram Matrix
Style Transfer - PyTorch: The Gram Matrix
5. Optimization
Style Transfer - PyTorch: Optimization
6. Style Transfer with Video
Style Transfer - PyTorch: Style Transfer with Video
12. Appendix A - Python Crash Course
This is bonus optional section for Python crash course.
1. Overview
Appendix A - Python Crash Course: Overview
2. Anaconda Installation (Mac)
Appendix A - Python Crash Course: Anaconda Installation (Mac)
3. Anaconda Installation Windows
Appendix A - Python Crash Course: Anaconda Installation Windows
4. Jupyter Notebooks
Appendix A - Python Crash Course: Jupyter Notebooks
5. Arithmetic Operators
Appendix A - Python Crash Course: Arithmetic Operators
6. Variables
Appendix A - Python Crash Course: Variables
7. Numeric Data Types
Appendix A - Python Crash Course: Numeric Data Types
8. String
Appendix A - Python Crash Course: String
9. Booleans
Appendix A - Python Crash Course: Booleans
10. Methods
Appendix A - Python Crash Course: Methods
11. Lists
Appendix A - Python Crash Course: Lists
12. Slicing
Appendix A - Python Crash Course: Slicing
13. Membership Operator
Appendix A - Python Crash Course: Membership Operator
14. Mutability
Appendix A - Python Crash Course: Mutability
15. Mutability II
Appendix A - Python Crash Course: Mutability II
16. Common Functions & Methods
Appendix A - Python Crash Course: Common Functions & Methods
17. Tuples
Appendix A - Python Crash Course: Tuples
18. Sets
Appendix A - Python Crash Course: Sets
19. Dictionaries
Appendix A - Python Crash Course: Dictionaries
20. Compound Data Structures
Appendix A - Python Crash Course: Compound Data Structures
21. Part 1 - Outro
Appendix A - Python Crash Course: Part 1 - Outro
22. Part 2 - Control Flow
Appendix A - Python Crash Course: Part 2 - Control Flow
23. If, else
Appendix A - Python Crash Course: If, else
24. elseif
Appendix A - Python Crash Course: elseif
25. Complex Comparisons
Appendix A - Python Crash Course: Complex Comparisons
26. For Loops
Appendix A - Python Crash Course: For Loops
27. For Loops II
Appendix A - Python Crash Course: For Loops II
28. While Loops
Appendix A - Python Crash Course: While Loops
29. Break
Appendix A - Python Crash Course: Break
30. Part 2 - Outro
Appendix A - Python Crash Course: Part 2 - Outro
31. Part 3 - Functions
Appendix A - Python Crash Course: Part 3 - Functions
32. Functions
Appendix A - Python Crash Course: Functions
33. Scope
Appendix A - Python Crash Course: Scope
34. Doc Strings
Appendix A - Python Crash Course: Doc Strings
35. Lambda and Higher Order Functions
Appendix A - Python Crash Course: Lambda and Higher Order Functions
36. Part 3 - Outro
Appendix A - Python Crash Course: Part 3 - Outro
13. Appendix B - NumPy Crash Course
This is bonus section on NumPy crash course.
1. Overview
Appendix B - NumPy Crash Course: Overview
2. Arrays vs Lists
Appendix B - NumPy Crash Course: Arrays vs Lists
3. Multidimensional Arrays
Appendix B - NumPy Crash Course: Multidimensional Arrays
4. One Dimensional Slicing
Appendix B - NumPy Crash Course: One Dimensional Slicing
5. Reshaping
Appendix B - NumPy Crash Course: Reshaping
6. Multidimensional Slicing
Appendix B - NumPy Crash Course: Multidimensional Slicing
7. Manipulating Array Shapes
Appendix B - NumPy Crash Course: Manipulating Array Shapes
8. Matrix Multiplication
Appendix B - NumPy Crash Course: Matrix Multiplication
9. Stacking
Appendix B - NumPy Crash Course: Stacking
10. Outro
Appendix B - NumPy Crash Course: Outro
14. Appendix C - Softmax Explanation
In this section, the author provides explanation on Softmax and cross entropy.
1. Softmax
Appendix C - Softmax Explanation: Softmax
2. Cross Entropy
Appendix C - Softmax Explanation: Cross Entropy

Computer Vision

Python

Deep Learning

Learn to build highly sophisticated deep learning and Computer Vision applications with PyTorch

PyTorch for Deep Learning and Computer Vision

<p>In the business world, challenges related to discrimination and understanding diversity and inclusion are pervasive. Common problems include biases, prejudices, and a lack of awareness about the importance of fostering a diverse and inclusive workplace. Discrimination can manifest in various forms, from unequal opportunities to exclusion and stereotypes. By understanding the impact of discrimination and learning to foster a more inclusive environment, individuals can contribute to a healthier workplace and a stronger, more harmonious business culture.</p><h3>Learning Objectives</h3><p>The following are some of the key outcomes in this course:
Defining respect and illustrating what it looks like
Benefits of a respectful workplace and unpack some basic steps for building one
Understand what harassment and discrimination are and explore some examples of each behavior type
Practical actions you can take to help those who are targeted by sexual harassment



</p><h3>Target Audience</h3><p>Human Resources Professionals. Managers, Team Leaders, Young Professionals</p>

In the business world, challenges related to discrimination and understanding diversity and inclusion are pervasive. Common problems include biases, prejudices, and a lack of awareness about the importance of fostering a diverse and inclusive workplace. Discrimination can manifest in various forms, from unequal opportunities to exclusion and stereotypes. By understanding the impact of discrimination and learning to foster a more inclusive environment, individuals can contribute to a healthier workplace and a stronger, more harmonious business culture.
Learning Objectives
The following are some of the key outcomes in this course:
Defining respect and illustrating what it looks like
Benefits of a respectful workplace and unpack some basic steps for building one
Understand what harassment and discrimination are and explore some examples of each behavior type
Practical actions you can take to help those who are targeted by sexual harassment 
Target Audience
Human Resources Professionals. Managers, Team Leaders, Young Professionals

Chart Learning Solutions

DEI: Discrimination

<strong>Take Your First Steps to become a Software Architect Today!</strong>
        <p>Becoming a Software Architect is the Next Step for a Programmer. The Path to Become a Software Architect is NOT very clear. Do you want to understand How to Become a Software Architect? Do you want to know what is Involved in Building Great Architectures? Do you want to Know What You Can Do TODAY to become a Great Architect? How to become a Software Architect? This is the number one question that I'm asked when talking to Programmers and Senior Developers. And this course provides an answer to that question. In this course, You will learn how to start your journey towards  becoming a Software Architect. You will understand what Architecture is all about and what your goal as an Architect should be. You will understand the thought process of successful Software Architects. You will learn about the fundamental pillars of Sofware Architecture - Technology Skill, Domain Knowledge, and Soft Skills. You will understand the importance of Enterprise and Application Standards with examples of REST API and Microservice Standards. You will learn about the importance of having Good Governance as a Software Architecture Team. You will learn how to make your teams productive. In this course, we will NOT discuss specific architecture patterns. The objective to get your mindset right. Start Learning Now. Hit the Enroll Button!</p>
        <h2>What You Will Learn</h2><p>You will understand what Software Architecture is all about and understand the ROLE of a Software Architect<br>You will understand the MINDSET needed to transition into Software Architecture Roles<br>You will learn what are the FIRST STEPS you can do today to START YOUR JOURNEY towards becoming a Software Architect<br>You will understand the FUNDAMENTAL PILLARS of Sofware Architecture - Technology, Domain Knowledge and Soft Skills.<br>You will understand the IMPORTANCE of Enterprise and Application STANDARDS with examples of REST API and Microservice Standards.<br>You will be provided Resources which will Help You Learn more about Software Architecture.</p>
        <h2>Audience</h2><p>This course is for whoever who wants to become a Software Architect.  You are a Programmer or Senior Developer and want to understand the steps involved in transitioning to a Software Architecture Role. You are a Programmer and Would want to understand how Software Architecture is done</p>
        <h2>Approach</h2><p>The instructor is very knowledgeable and has given a very good introduction to the topic and will give you the right direction to improve your knowledge in this area and also to identify gaps in your knowledge and resources to find answers to them.</p>
        <h2>Key Features</h2><p>A lot of preparation work has taken place from the teacher and this is visible throughout the course. * Wonderful teaching skills, and goes well out of his way to make sure that everything he is doing is fully understood. * Real Project Experiences using the Best Tools and Frameworks</p>
        
        <h2>About the Author</h2><h3>In28Minutes Official</h3><p>	Ranga Karanam is a seasoned technologist and architect with over two decades of expertise in programming, design, and architecture. He founded in28Minutes with the goal of helping students master cutting-edge cloud-native technologies such as AWS, Azure, Google Cloud, Docker, and Kubernetes. With 15 years of experience in Java programming and design, Ranga has collaborated with top banking clients worldwide.

His passion for creating hands-on courses with real-world projects motivated him to develop the Step-By-Step series of courses that follow a problem-solution-based approach, with practical and real-world application examples.

Ranga and his team at in28Minutes specialize in Java and related frameworks such as Spring, Spring Boot, Spring MVC, Struts, and Hibernate. They are committed to equipping learners with the skills and knowledge necessary to succeed in today's rapidly evolving technology landscape.</p>
        <h2>Course Outline</h2><h4>1. Your First Steps to Software Architect - Introduction</h4><p></p><br><h4>2. Software Architecture Basics</h4><p></p><br><h4>3. Software Architecture - Defining Enterprise and Application Standards</h4><p></p><br><h4>4. What Should I Start Doing Now?</h4><p></p><br><h4>5. Conclusion</h4><p></p>

Take Your First Steps to become a Software Architect Today!
Becoming a Software Architect is the Next Step for a Programmer. The Path to Become a Software Architect is NOT very clear. Do you want to understand How to Become a Software Architect? Do you want to know what is Involved in Building Great Architectures? Do you want to Know What You Can Do TODAY to become a Great Architect? How to become a Software Architect? This is the number one question that I'm asked when talking to Programmers and Senior Developers. And this course provides an answer to that question. In this course, You will learn how to start your journey towards becoming a Software Architect. You will understand what Architecture is all about and what your goal as an Architect should be. You will understand the thought process of successful Software Architects. You will learn about the fundamental pillars of Sofware Architecture - Technology Skill, Domain Knowledge, and Soft Skills. You will understand the importance of Enterprise and Application Standards with examples of REST API and Microservice Standards. You will learn about the importance of having Good Governance as a Software Architecture Team. You will learn how to make your teams productive. In this course, we will NOT discuss specific architecture patterns. The objective to get your mindset right. Start Learning Now. Hit the Enroll Button!
What You Will Learn
You will understand what Software Architecture is all about and understand the ROLE of a Software Architect
You will understand the MINDSET needed to transition into Software Architecture Roles
You will learn what are the FIRST STEPS you can do today to START YOUR JOURNEY towards becoming a Software Architect
You will understand the FUNDAMENTAL PILLARS of Sofware Architecture - Technology, Domain Knowledge and Soft Skills.
You will understand the IMPORTANCE of Enterprise and Application STANDARDS with examples of REST API and Microservice Standards.
You will be provided Resources which will Help You Learn more about Software Architecture.
Audience
This course is for whoever who wants to become a Software Architect. You are a Programmer or Senior Developer and want to understand the steps involved in transitioning to a Software Architecture Role. You are a Programmer and Would want to understand how Software Architecture is done
Approach
The instructor is very knowledgeable and has given a very good introduction to the topic and will give you the right direction to improve your knowledge in this area and also to identify gaps in your knowledge and resources to find answers to them.
Key Features
A lot of preparation work has taken place from the teacher and this is visible throughout the course. * Wonderful teaching skills, and goes well out of his way to make sure that everything he is doing is fully understood. * Real Project Experiences using the Best Tools and Frameworks
About the Author
In28Minutes Official
	Ranga Karanam is a seasoned technologist and architect with over two decades of expertise in programming, design, and architecture. He founded in28Minutes with the goal of helping students master cutting-edge cloud-native technologies such as AWS, Azure, Google Cloud, Docker, and Kubernetes. With 15 years of experience in Java programming and design, Ranga has collaborated with top banking clients worldwide. His passion for creating hands-on courses with real-world projects motivated him to develop the Step-By-Step series of courses that follow a problem-solution-based approach, with practical and real-world application examples. Ranga and his team at in28Minutes specialize in Java and related frameworks such as Spring, Spring Boot, Spring MVC, Struts, and Hibernate. They are committed to equipping learners with the skills and knowledge necessary to succeed in today's rapidly evolving technology landscape.
Course Outline
1. Your First Steps to Software Architect - Introduction

2. Software Architecture Basics

3. Software Architecture - Defining Enterprise and Application Standards

4. What Should I Start Doing Now?

5. Conclusion


Software Architecture

Programming

Take Your First Steps to become a Software Architect Today!

Your First Steps from Programmer to Software Architect

<strong>Learn how to combine the three most important tools in data science: Python, SQL, and Tableau</strong>
        <p>Python, SQL, and Tableau are three of the most widely used tools in the world of data science. Python is the leading programming language
SQL is the most widely used means for communication with database systems
Tableau is the preferred solution for data visualization;

The course starts off by introducing software integration as a concept. We discuss some important terms such as servers, clients, requests, and responses. Moreover, you will learn about data connectivity, APIs, and endpoints. Then we continue by introducing the real-life example exercise the course is centred around: the Absenteeism at Work dataset. The preprocessing part that follows will give you a taste of what BI and data science look like in real-life, on-the-job situations. Then we continue by applying some Machine Learning to our data. You will learn how to explore the problem at hand from a machine-learning perspective, how to create targets, what kind of statistical preprocessing is necessary for this part of the exercise, how to train a Machine Learning model, and how to test it-a truly comprehensive ML exercise. Connecting Python and SQL is not immediate; we show how that's done in an entire section of the course.

By the end of that section, you will be able to transfer data from Jupyter to Workbench. And finally, as promised, Tableau will allow us to visualize the data we have been working with. We will prepare several insightful charts and will interpret the results together.

All the code files are placed at https://github.com/PacktPublishing/Python-SQL-Tableau-Integrating-Python-SQL-and-Tableau</p>
        <h2>What You Will Learn</h2><p>Create a module of the ML model for later use<br>Connect Python and SQL to transfer data from Jupyter to Workbench<br>Visualize data in Tableau<br>Analyze and interpret exercise outputs in Jupyter and Tableau</p>
        <h2>Audience</h2><p>This course is for anyone looking for a career in Business Intelligence and Data Science. Data scientists who are eagerly looking to break into the field and learn the necessary essentials of Data Science and software engineers who are interested in building intelligent applications driven by Python and Machine Learning will also benefit from this course.</p>
        <h2>Approach</h2><p>This course is designed so that each section covers a new scenario and uses a step-by-step approach to help you learn and understand each concept.</p>
        <h2>Key Features</h2><p>How to use Python, SQL, and Tableau together * Software integration * Data preprocessing techniques * Apply machine learning</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/python-sql-tableau-integrating-python-sql-and-tableau</p>
        <h2>About the Author</h2><h3>365 Careers Ltd.</h3><p>365 Careers' courses have been taken by more than 203,000 students in 204 countries. People working at world-class firms such as Apple, PayPal, and Citibank have completed 365 Careers trainings. By choosing 365 Careers, you make sure you will learn from proven experts who have a passion for teaching, and can take you from beginner to pro in the shortest possible amount of time.

If you want to become a financial analyst, a finance manager, an FP&A analyst, an investment banker, a business executive, an entrepreneur, a business intelligence analyst, a data analyst, or a data scientist, 365 Careers' courses are the perfect place to start.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p>This section will give you a brief introduction about the course.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. (Free Preview): What Does the Course Cover?</p><p style='margin: 0'>Introduction: What Does the Course Cover?</p></td></tr></tbody></table><br><h4>2. What is software integration?</h4><p>This section will help you to understand about software integration?.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. (Free Preview): Properties and Definitions: Data, Servers, Clients, Requests and Responses</p><p style='margin: 0'>What is software integration?: Properties and Definitions: Data, Servers, Clients, Requests and Responses</p></td></tr><tr><td style='padding: 15px;'><p>2. (Free Preview): Properties and Definitions: Data Connectivity, APIs, and Endpoints</p><p style='margin: 0'>What is software integration?: Properties and Definitions: Data Connectivity, APIs, and Endpoints</p></td></tr><tr><td style='padding: 15px;'><p>3. Further Details on APIs</p><p style='margin: 0'>What is software integration?: Further Details on APIs</p></td></tr><tr><td style='padding: 15px;'><p>4. (Free Preview): Text Files as Means of Communication</p><p style='margin: 0'>What is software integration?: Text Files as Means of Communication</p></td></tr><tr><td style='padding: 15px;'><p>5. Definitions and Applications</p><p style='margin: 0'>What is software integration?: Definitions and Applications</p></td></tr></tbody></table><br><h4>3. Setting up the working environment</h4><p>This section will help you set up the working environment.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Setting Up the Environment - An Introduction (Do Not Skip, Please)!</p><p style='margin: 0'>Setting up the working environment: Setting Up the Environment - An Introduction (Do Not Skip, Please)!</p></td></tr><tr><td style='padding: 15px;'><p>2. Why Python and why Jupyter?</p><p style='margin: 0'>Setting up the working environment: Why Python and why Jupyter?</p></td></tr><tr><td style='padding: 15px;'><p>3. Installing Anaconda</p><p style='margin: 0'>Setting up the working environment: Installing Anaconda</p></td></tr><tr><td style='padding: 15px;'><p>4. The Jupyter Dashboard - Part 1</p><p style='margin: 0'>Setting up the working environment: The Jupyter Dashboard - Part 1</p></td></tr><tr><td style='padding: 15px;'><p>5. The Jupyter Dashboard - Part 2</p><p style='margin: 0'>Setting up the working environment: The Jupyter Dashboard - Part 2</p></td></tr><tr><td style='padding: 15px;'><p>6. Installing sklearn</p><p style='margin: 0'>Setting up the working environment: Installing sklearn</p></td></tr></tbody></table><br><h4>4. What's next in the course?</h4><p>This section will help you understand what this course is all about.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Up Ahead</p><p style='margin: 0'>What's next in the course?: Up Ahead</p></td></tr><tr><td style='padding: 15px;'><p>2. Real-Life Example: Absenteeism at Work</p><p style='margin: 0'>What's next in the course?: Real-Life Example: Absenteeism at Work</p></td></tr><tr><td style='padding: 15px;'><p>3. Real-Life Example: The Dataset</p><p style='margin: 0'>What's next in the course?: Real-Life Example: The Dataset</p></td></tr></tbody></table><br><h4>5. Preprocessing</h4><p>In this section, we'll learn about Preprocessing.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Data Sets in Python</p><p style='margin: 0'>Preprocessing: Data Sets in Python</p></td></tr><tr><td style='padding: 15px;'><p>2. Data at a Glance</p><p style='margin: 0'>Preprocessing: Data at a Glance</p></td></tr><tr><td style='padding: 15px;'><p>3. A Note on Our Usage of Terms with Multiple Meanings</p><p style='margin: 0'>Preprocessing: A Note on Our Usage of Terms with Multiple Meanings</p></td></tr><tr><td style='padding: 15px;'><p>4. Picking the Appropriate Approach for the Task at Hand</p><p style='margin: 0'>Preprocessing: Picking the Appropriate Approach for the Task at Hand</p></td></tr><tr><td style='padding: 15px;'><p>5. Removing Irrelevant Data</p><p style='margin: 0'>Preprocessing: Removing Irrelevant Data</p></td></tr><tr><td style='padding: 15px;'><p>6. Examining the Reasons for Absence</p><p style='margin: 0'>Preprocessing: Examining the Reasons for Absence</p></td></tr><tr><td style='padding: 15px;'><p>7. Splitting a Column into Multiple Dummies</p><p style='margin: 0'>Preprocessing: Splitting a Column into Multiple Dummies</p></td></tr><tr><td style='padding: 15px;'><p>8. Dummy Variables and Their Statistical Importance</p><p style='margin: 0'>Preprocessing: Dummy Variables and Their Statistical Importance</p></td></tr><tr><td style='padding: 15px;'><p>9. Grouping - Transforming Dummy Variables into Categorical Variables</p><p style='margin: 0'>Preprocessing: Grouping - Transforming Dummy Variables into Categorical Variables</p></td></tr><tr><td style='padding: 15px;'><p>10. Concatenating Columns in Python</p><p style='margin: 0'>Preprocessing: Concatenating Columns in Python</p></td></tr><tr><td style='padding: 15px;'><p>11. Changing Column Order in Pandas DataFrame</p><p style='margin: 0'>Preprocessing: Changing Column Order in Pandas DataFrame</p></td></tr><tr><td style='padding: 15px;'><p>12. Implementing Checkpoints in Coding</p><p style='margin: 0'>Preprocessing: Implementing Checkpoints in Coding</p></td></tr><tr><td style='padding: 15px;'><p>13. Exploring the Initial "Date" Column</p><p style='margin: 0'>Preprocessing: Exploring the Initial "Date" Column</p></td></tr><tr><td style='padding: 15px;'><p>14. Using the "Date" Column to Extract the Appropriate Month Value</p><p style='margin: 0'>Preprocessing: Using the "Date" Column to Extract the Appropriate Month Value</p></td></tr><tr><td style='padding: 15px;'><p>15. Introducing "Day of the Week"</p><p style='margin: 0'>Preprocessing: Introducing "Day of the Week"</p></td></tr><tr><td style='padding: 15px;'><p>16. Further Analysis of the DataFrame: Next 5 Columns</p><p style='margin: 0'>Preprocessing: Further Analysis of the DataFrame: Next 5 Columns</p></td></tr><tr><td style='padding: 15px;'><p>17. Further Analysis of the DaraFrame: "Education", "Children", "Pets"</p><p style='margin: 0'>Preprocessing: Further Analysis of the DaraFrame: "Education", "Children", "Pets"</p></td></tr><tr><td style='padding: 15px;'><p>18. A Final Note on Preprocessing</p><p style='margin: 0'>Preprocessing: A Final Note on Preprocessing</p></td></tr></tbody></table><br><h4>6. Machine Learning</h4><p>In this section, we'll learn about Machine Learning.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. (Free Preview): Exploring the Problem from a Machine Learning Point of View</p><p style='margin: 0'>Machine Learning: Exploring the Problem from a Machine Learning Point of View</p></td></tr><tr><td style='padding: 15px;'><p>2. Creating the Targets for the Logistic Regression</p><p style='margin: 0'>Machine Learning: Creating the Targets for the Logistic Regression</p></td></tr><tr><td style='padding: 15px;'><p>3. Selecting the Inputs</p><p style='margin: 0'>Machine Learning: Selecting the Inputs</p></td></tr><tr><td style='padding: 15px;'><p>4. A Bit of Statistical Preprocessing</p><p style='margin: 0'>Machine Learning: A Bit of Statistical Preprocessing</p></td></tr><tr><td style='padding: 15px;'><p>5. Train-test Split of the Data</p><p style='margin: 0'>Machine Learning: Train-test Split of the Data</p></td></tr><tr><td style='padding: 15px;'><p>6. Training the Model and Assessing its Accuracy</p><p style='margin: 0'>Machine Learning: Training the Model and Assessing its Accuracy</p></td></tr><tr><td style='padding: 15px;'><p>7. Extracting the Intercept and Coefficients from a Logistic Regression</p><p style='margin: 0'>Machine Learning: Extracting the Intercept and Coefficients from a Logistic Regression</p></td></tr><tr><td style='padding: 15px;'><p>8. Interpreting the Logistic Regression Coefficients</p><p style='margin: 0'>Machine Learning: Interpreting the Logistic Regression Coefficients</p></td></tr><tr><td style='padding: 15px;'><p>9. Omitting the dummy variables from the Standardization</p><p style='margin: 0'>Machine Learning: Omitting the dummy variables from the Standardization</p></td></tr><tr><td style='padding: 15px;'><p>10. Interpreting the Important Predictors</p><p style='margin: 0'>Machine Learning: Interpreting the Important Predictors</p></td></tr><tr><td style='padding: 15px;'><p>11. Simplifying the Model (Backward Elimination)</p><p style='margin: 0'>Machine Learning: Simplifying the Model (Backward Elimination)</p></td></tr><tr><td style='padding: 15px;'><p>12. Testing the Machine Learning Model</p><p style='margin: 0'>Machine Learning: Testing the Machine Learning Model</p></td></tr><tr><td style='padding: 15px;'><p>13. How to Save the Machine Learning Model and Prepare it for Future Deployment</p><p style='margin: 0'>Machine Learning: How to Save the Machine Learning Model and Prepare it for Future Deployment</p></td></tr><tr><td style='padding: 15px;'><p>14. Creating a Module for Later Use of the Model</p><p style='margin: 0'>Machine Learning: Creating a Module for Later Use of the Model</p></td></tr></tbody></table><br><h4>7. Installing MySQL and Getting Acquainted with the Interface</h4><p>In this section, we'll Install MySQL and get Acquainted with the Interface.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Installing MySQL</p><p style='margin: 0'>Installing MySQL and Getting Acquainted with the Interface: Installing MySQL</p></td></tr><tr><td style='padding: 15px;'><p>2. Setting Up a Connection</p><p style='margin: 0'>Installing MySQL and Getting Acquainted with the Interface: Setting Up a Connection</p></td></tr><tr><td style='padding: 15px;'><p>3. Introduction to the MySQL Interface</p><p style='margin: 0'>Installing MySQL and Getting Acquainted with the Interface: Introduction to the MySQL Interface</p></td></tr></tbody></table><br><h4>8. Connecting Python and SQL</h4><p>This section will help you to connect Python and SQL.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Implementing the 'absenteeism_module' - Part I</p><p style='margin: 0'>Connecting Python and SQL: Implementing the 'absenteeism_module' - Part I</p></td></tr><tr><td style='padding: 15px;'><p>2. Implementing the 'absenteeism_module' - Part II</p><p style='margin: 0'>Connecting Python and SQL: Implementing the 'absenteeism_module' - Part II</p></td></tr><tr><td style='padding: 15px;'><p>3. Creating a Database in MySQL</p><p style='margin: 0'>Connecting Python and SQL: Creating a Database in MySQL</p></td></tr><tr><td style='padding: 15px;'><p>4. Importing and Installing 'pymysql'</p><p style='margin: 0'>Connecting Python and SQL: Importing and Installing 'pymysql'</p></td></tr><tr><td style='padding: 15px;'><p>5. Creating a Connection and Cursor</p><p style='margin: 0'>Connecting Python and SQL: Creating a Connection and Cursor</p></td></tr><tr><td style='padding: 15px;'><p>6. Creating the 'predicted_outputs' table in MySQL</p><p style='margin: 0'>Connecting Python and SQL: Creating the 'predicted_outputs' table in MySQL</p></td></tr><tr><td style='padding: 15px;'><p>7. Running an SQL SELECT Statement from Python</p><p style='margin: 0'>Connecting Python and SQL: Running an SQL SELECT Statement from Python</p></td></tr><tr><td style='padding: 15px;'><p>8. Transferring Data from Jupyter to Workbench - Part I</p><p style='margin: 0'>Connecting Python and SQL: Transferring Data from Jupyter to Workbench - Part I</p></td></tr><tr><td style='padding: 15px;'><p>9. Transferring Data from Jupyter to Workbench - Part II</p><p style='margin: 0'>Connecting Python and SQL: Transferring Data from Jupyter to Workbench - Part II</p></td></tr><tr><td style='padding: 15px;'><p>10. Transferring Data from Jupyter to Workbench - Part III</p><p style='margin: 0'>Connecting Python and SQL: Transferring Data from Jupyter to Workbench - Part III</p></td></tr></tbody></table><br><h4>9. Analyzing the Obtained data in Tableau</h4><p>In this section, we'll analyze the Obtained data.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Analysis in Tableau: Age vs Probability</p><p style='margin: 0'>Analyzing the Obtained data in Tableau: Analysis in Tableau: Age vs Probability</p></td></tr><tr><td style='padding: 15px;'><p>2. Analysis in Tableau: Reasons vs Probability</p><p style='margin: 0'>Analyzing the Obtained data in Tableau: Analysis in Tableau: Reasons vs Probability</p></td></tr><tr><td style='padding: 15px;'><p>3. Analysis in Tableau: Transportation Expense vs Probability</p><p style='margin: 0'>Analyzing the Obtained data in Tableau: Analysis in Tableau: Transportation Expense vs Probability</p></td></tr></tbody></table>

Learn how to combine the three most important tools in data science: Python, SQL, and Tableau
Python, SQL, and Tableau are three of the most widely used tools in the world of data science. Python is the leading programming language
SQL is the most widely used means for communication with database systems
Tableau is the preferred solution for data visualization; The course starts off by introducing software integration as a concept. We discuss some important terms such as servers, clients, requests, and responses. Moreover, you will learn about data connectivity, APIs, and endpoints. Then we continue by introducing the real-life example exercise the course is centred around: the Absenteeism at Work dataset. The preprocessing part that follows will give you a taste of what BI and data science look like in real-life, on-the-job situations. Then we continue by applying some Machine Learning to our data. You will learn how to explore the problem at hand from a machine-learning perspective, how to create targets, what kind of statistical preprocessing is necessary for this part of the exercise, how to train a Machine Learning model, and how to test it-a truly comprehensive ML exercise. Connecting Python and SQL is not immediate; we show how that's done in an entire section of the course. By the end of that section, you will be able to transfer data from Jupyter to Workbench. And finally, as promised, Tableau will allow us to visualize the data we have been working with. We will prepare several insightful charts and will interpret the results together. All the code files are placed at https://github.com/PacktPublishing/Python-SQL-Tableau-Integrating-Python-SQL-and-Tableau
What You Will Learn
Create a module of the ML model for later use
Connect Python and SQL to transfer data from Jupyter to Workbench
Visualize data in Tableau
Analyze and interpret exercise outputs in Jupyter and Tableau
Audience
This course is for anyone looking for a career in Business Intelligence and Data Science. Data scientists who are eagerly looking to break into the field and learn the necessary essentials of Data Science and software engineers who are interested in building intelligent applications driven by Python and Machine Learning will also benefit from this course.
Approach
This course is designed so that each section covers a new scenario and uses a step-by-step approach to help you learn and understand each concept.
Key Features
How to use Python, SQL, and Tableau together * Software integration * Data preprocessing techniques * Apply machine learning
Github Repo
https://github.com/packtpublishing/python-sql-tableau-integrating-python-sql-and-tableau
About the Author
365 Careers Ltd.
365 Careers' courses have been taken by more than 203,000 students in 204 countries. People working at world-class firms such as Apple, PayPal, and Citibank have completed 365 Careers trainings. By choosing 365 Careers, you make sure you will learn from proven experts who have a passion for teaching, and can take you from beginner to pro in the shortest possible amount of time. If you want to become a financial analyst, a finance manager, an FP&A analyst, an investment banker, a business executive, an entrepreneur, a business intelligence analyst, a data analyst, or a data scientist, 365 Careers' courses are the perfect place to start.
Course Outline
1. Introduction
This section will give you a brief introduction about the course.
1. (Free Preview): What Does the Course Cover?
Introduction: What Does the Course Cover?
2. What is software integration?
This section will help you to understand about software integration?.
1. (Free Preview): Properties and Definitions: Data, Servers, Clients, Requests and Responses
What is software integration?: Properties and Definitions: Data, Servers, Clients, Requests and Responses
2. (Free Preview): Properties and Definitions: Data Connectivity, APIs, and Endpoints
What is software integration?: Properties and Definitions: Data Connectivity, APIs, and Endpoints
3. Further Details on APIs
What is software integration?: Further Details on APIs
4. (Free Preview): Text Files as Means of Communication
What is software integration?: Text Files as Means of Communication
5. Definitions and Applications
What is software integration?: Definitions and Applications
3. Setting up the working environment
This section will help you set up the working environment.
1. Setting Up the Environment - An Introduction (Do Not Skip, Please)!
Setting up the working environment: Setting Up the Environment - An Introduction (Do Not Skip, Please)!
2. Why Python and why Jupyter?
Setting up the working environment: Why Python and why Jupyter?
3. Installing Anaconda
Setting up the working environment: Installing Anaconda
4. The Jupyter Dashboard - Part 1
Setting up the working environment: The Jupyter Dashboard - Part 1
5. The Jupyter Dashboard - Part 2
Setting up the working environment: The Jupyter Dashboard - Part 2
6. Installing sklearn
Setting up the working environment: Installing sklearn
4. What's next in the course?
This section will help you understand what this course is all about.
1. Up Ahead
What's next in the course?: Up Ahead
2. Real-Life Example: Absenteeism at Work
What's next in the course?: Real-Life Example: Absenteeism at Work
3. Real-Life Example: The Dataset
What's next in the course?: Real-Life Example: The Dataset
5. Preprocessing
In this section, we'll learn about Preprocessing.
1. Data Sets in Python
Preprocessing: Data Sets in Python
2. Data at a Glance
Preprocessing: Data at a Glance
3. A Note on Our Usage of Terms with Multiple Meanings
Preprocessing: A Note on Our Usage of Terms with Multiple Meanings
4. Picking the Appropriate Approach for the Task at Hand
Preprocessing: Picking the Appropriate Approach for the Task at Hand
5. Removing Irrelevant Data
Preprocessing: Removing Irrelevant Data
6. Examining the Reasons for Absence
Preprocessing: Examining the Reasons for Absence
7. Splitting a Column into Multiple Dummies
Preprocessing: Splitting a Column into Multiple Dummies
8. Dummy Variables and Their Statistical Importance
Preprocessing: Dummy Variables and Their Statistical Importance
9. Grouping - Transforming Dummy Variables into Categorical Variables
Preprocessing: Grouping - Transforming Dummy Variables into Categorical Variables
10. Concatenating Columns in Python
Preprocessing: Concatenating Columns in Python
11. Changing Column Order in Pandas DataFrame
Preprocessing: Changing Column Order in Pandas DataFrame
12. Implementing Checkpoints in Coding
Preprocessing: Implementing Checkpoints in Coding
13. Exploring the Initial "Date" Column
Preprocessing: Exploring the Initial "Date" Column
14. Using the "Date" Column to Extract the Appropriate Month Value
Preprocessing: Using the "Date" Column to Extract the Appropriate Month Value
15. Introducing "Day of the Week"
Preprocessing: Introducing "Day of the Week"
16. Further Analysis of the DataFrame: Next 5 Columns
Preprocessing: Further Analysis of the DataFrame: Next 5 Columns
17. Further Analysis of the DaraFrame: "Education", "Children", "Pets"
Preprocessing: Further Analysis of the DaraFrame: "Education", "Children", "Pets"
18. A Final Note on Preprocessing
Preprocessing: A Final Note on Preprocessing
6. Machine Learning
In this section, we'll learn about Machine Learning.
1. (Free Preview): Exploring the Problem from a Machine Learning Point of View
Machine Learning: Exploring the Problem from a Machine Learning Point of View
2. Creating the Targets for the Logistic Regression
Machine Learning: Creating the Targets for the Logistic Regression
3. Selecting the Inputs
Machine Learning: Selecting the Inputs
4. A Bit of Statistical Preprocessing
Machine Learning: A Bit of Statistical Preprocessing
5. Train-test Split of the Data
Machine Learning: Train-test Split of the Data
6. Training the Model and Assessing its Accuracy
Machine Learning: Training the Model and Assessing its Accuracy
7. Extracting the Intercept and Coefficients from a Logistic Regression
Machine Learning: Extracting the Intercept and Coefficients from a Logistic Regression
8. Interpreting the Logistic Regression Coefficients
Machine Learning: Interpreting the Logistic Regression Coefficients
9. Omitting the dummy variables from the Standardization
Machine Learning: Omitting the dummy variables from the Standardization
10. Interpreting the Important Predictors
Machine Learning: Interpreting the Important Predictors
11. Simplifying the Model (Backward Elimination)
Machine Learning: Simplifying the Model (Backward Elimination)
12. Testing the Machine Learning Model
Machine Learning: Testing the Machine Learning Model
13. How to Save the Machine Learning Model and Prepare it for Future Deployment
Machine Learning: How to Save the Machine Learning Model and Prepare it for Future Deployment
14. Creating a Module for Later Use of the Model
Machine Learning: Creating a Module for Later Use of the Model
7. Installing MySQL and Getting Acquainted with the Interface
In this section, we'll Install MySQL and get Acquainted with the Interface.
1. Installing MySQL
Installing MySQL and Getting Acquainted with the Interface: Installing MySQL
2. Setting Up a Connection
Installing MySQL and Getting Acquainted with the Interface: Setting Up a Connection
3. Introduction to the MySQL Interface
Installing MySQL and Getting Acquainted with the Interface: Introduction to the MySQL Interface
8. Connecting Python and SQL
This section will help you to connect Python and SQL.
1. Implementing the 'absenteeism_module' - Part I
Connecting Python and SQL: Implementing the 'absenteeism_module' - Part I
2. Implementing the 'absenteeism_module' - Part II
Connecting Python and SQL: Implementing the 'absenteeism_module' - Part II
3. Creating a Database in MySQL
Connecting Python and SQL: Creating a Database in MySQL
4. Importing and Installing 'pymysql'
Connecting Python and SQL: Importing and Installing 'pymysql'
5. Creating a Connection and Cursor
Connecting Python and SQL: Creating a Connection and Cursor
6. Creating the 'predicted_outputs' table in MySQL
Connecting Python and SQL: Creating the 'predicted_outputs' table in MySQL
7. Running an SQL SELECT Statement from Python
Connecting Python and SQL: Running an SQL SELECT Statement from Python
8. Transferring Data from Jupyter to Workbench - Part I
Connecting Python and SQL: Transferring Data from Jupyter to Workbench - Part I
9. Transferring Data from Jupyter to Workbench - Part II
Connecting Python and SQL: Transferring Data from Jupyter to Workbench - Part II
10. Transferring Data from Jupyter to Workbench - Part III
Connecting Python and SQL: Transferring Data from Jupyter to Workbench - Part III
9. Analyzing the Obtained data in Tableau
In this section, we'll analyze the Obtained data.
1. Analysis in Tableau: Age vs Probability
Analyzing the Obtained data in Tableau: Analysis in Tableau: Age vs Probability
2. Analysis in Tableau: Reasons vs Probability
Analyzing the Obtained data in Tableau: Analysis in Tableau: Reasons vs Probability
3. Analysis in Tableau: Transportation Expense vs Probability
Analyzing the Obtained data in Tableau: Analysis in Tableau: Transportation Expense vs Probability

Data Science

Tableau

Pandas

Learn how to combine the three most important tools in data science: Python, SQL, and Tableau

Python, SQL, and Tableau: Integrating Python, SQL, and Tableau

Android

Windows

Linux

CompTIA A+

This comprehensive course is designed to prepare you to take and pass the CompTIA A+ Certification Core (220-1102) certification exam. This is the second of a two-course series. To become fully A+ certified, you will need to pass both the 220-1101 and 220-1102 exams.

CompTIA A+ Certification Core 2 (220-1102)

<strong>Code a real app from scratch!</strong>
        <p>Coding for Beginners is the most beginner-friendly eLearning course for anyone looking to start coding! It doesn't matter if you've never even seen a line of computer code before - if you're interested or just wondering if you can learn to code, this is the course for you!
This coding guide is designed as a generic, foundation-level course to help you grasp the common coding concepts that you'll apply in any programming language you choose to learn. You'll get a real head start before you advance to mastering a dedicated language and its syntax.

All the codes and supporting files for this course will be available at- https://github.com/PacktPublishing/Coding-for-Beginners-You-can-learn-to-code-</p>
        <h2>What You Will Learn</h2><p>Understand that if you can read and write, you can code<br>Grasp the basics of computer programming and how code works<br>Study the foundation-level concepts that are common to most programming languages before you go on to learn a specific syntax<br>Get ready to learn any programming language, such as Scratch, Python, JavaScript, Ruby, C#, or Go<br>Open up a whole new world of digital creativity</p>
        <h2>Audience</h2><p>This is course is for complete beginners. You don't need any knowledge of coding or computer programming to get started with this course.</p>
        <h2>Approach</h2><p>With over 30 lectures and more than 7 hours of video, this comprehensive course will teach you the very basics of computer coding, also called programming, from the ground up.<br>Starting with foundation-level theory, this course takes you through pseudocoding and practical exercises. Coding for Beginners includes video lectures, screencasts, tests, assignments, and a beginner-level project - building a simple app in both Scratch and Python.</p>
        <h2>Key Features</h2><p>Learn to code with absolutely no prior knowledge or experience * Build a solid foundation in writing code before you go on to master any coding language * Understand the theory and pseudo coding and build your first app with Scratch and Python</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/coding-for-beginners-you-can-learn-to-code-</p>
        <h2>About the Author</h2><h3>Greg Hamilton</h3><p>Applause Interactive is a leading digital studio based in London, UK.
Our team is made up of software developers, engineers and professional teachers. We're passionate about education technology (edTech) and eLearning.
We exist to build products that delight people, teach coding, and empower learners all over the world to discover and grow in their digital potential.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. You can code!</h4><p></p><br><h4>3. Coding in a nutshell</h4><p></p><br><h4>4. Common Coding Concepts</h4><p></p><br><h4>5. Coding Project</h4><p></p><br><h4>6. Course Summary</h4><p></p><br><h4>7. Bonus Content</h4><p></p>

Code a real app from scratch!
Coding for Beginners is the most beginner-friendly eLearning course for anyone looking to start coding! It doesn't matter if you've never even seen a line of computer code before - if you're interested or just wondering if you can learn to code, this is the course for you!
This coding guide is designed as a generic, foundation-level course to help you grasp the common coding concepts that you'll apply in any programming language you choose to learn. You'll get a real head start before you advance to mastering a dedicated language and its syntax. All the codes and supporting files for this course will be available at- https://github.com/PacktPublishing/Coding-for-Beginners-You-can-learn-to-code-
What You Will Learn
Understand that if you can read and write, you can code
Grasp the basics of computer programming and how code works
Study the foundation-level concepts that are common to most programming languages before you go on to learn a specific syntax
Get ready to learn any programming language, such as Scratch, Python, JavaScript, Ruby, C#, or Go
Open up a whole new world of digital creativity
Audience
This is course is for complete beginners. You don't need any knowledge of coding or computer programming to get started with this course.
Approach
With over 30 lectures and more than 7 hours of video, this comprehensive course will teach you the very basics of computer coding, also called programming, from the ground up.
Starting with foundation-level theory, this course takes you through pseudocoding and practical exercises. Coding for Beginners includes video lectures, screencasts, tests, assignments, and a beginner-level project - building a simple app in both Scratch and Python.
Key Features
Learn to code with absolutely no prior knowledge or experience * Build a solid foundation in writing code before you go on to master any coding language * Understand the theory and pseudo coding and build your first app with Scratch and Python
Github Repo
https://github.com/packtpublishing/coding-for-beginners-you-can-learn-to-code-
About the Author
Greg Hamilton
Applause Interactive is a leading digital studio based in London, UK.
Our team is made up of software developers, engineers and professional teachers. We're passionate about education technology (edTech) and eLearning.
We exist to build products that delight people, teach coding, and empower learners all over the world to discover and grow in their digital potential.
Course Outline
1. Introduction

2. You can code!

3. Coding in a nutshell

4. Common Coding Concepts

5. Coding Project

6. Course Summary

7. Bonus Content


Code

Scratch

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Southampton

Rotherham

Manchester

Leeds

Kingston upon Hull

Newport

Peterborough

Milton Keynes 

Dartford

Paisley

Derby

Birmingham

Hull

Bedford

Liverpool 

Swansea

<div data-testid="richTextElement" style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(0, 0, 0);"><p style="color: rgb(85, 85, 85); font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(85, 85, 85);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">ONLINE STUDY - In your own time (approx. 6 hours study time) +</span></strong></p><p style="color: rgb(85, 85, 85); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(85, 85, 85);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">CLASSROOM SESSION - Morning, Afternoon or Evening session (approx. 3 hours)<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><br fr-original-style="" style="box-sizing: border-box;"></span></strong></span></strong></p><p style="color: rgb(85, 85, 85); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(85, 85, 85);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"></strong><br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"></strong></p><p style="color: rgb(85, 85, 85); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(85, 85, 85);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Awarding Body:</strong>&nbsp;Open College Network (OCN) Credit for Learning</p><p style="color: rgb(85, 85, 85); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(85, 85, 85);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Award Level:</strong>&nbsp;Level 3 (Advanced Level) - Ireland Level 5</p><p style="color: rgb(85, 85, 85); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(85, 85, 85);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">CPD Certified:</strong>&nbsp;Yes (CPD Accreditation)</p><p style="color: rgb(85, 85, 85); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(85, 85, 85);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Minimum Age:&nbsp;</strong>18 (16 with parental consent)</p><p style="color: rgb(85, 85, 85); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(85, 85, 85);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Entry requirements:&nbsp;</strong>None. (English Level 2 desirable)</p><p style="color: rgb(85, 85, 85); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(85, 85, 85);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Training Locations:</strong>&nbsp;Study online + Classroom</p><p style="color: rgb(85, 85, 85); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(85, 85, 85);">&nbsp;</p><p style="color: rgb(85, 85, 85); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(85, 85, 85);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><span style="color: rgb(255, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(255, 0, 0);">OCN Accredited at UK Level 3 (Ireland Level 5)</span><br fr-original-style="" style="box-sizing: border-box;"></strong></p><p style="color: rgb(85, 85, 85); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(85, 85, 85);">&nbsp;</p><p style="color: rgb(85, 85, 85); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(85, 85, 85);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">PART 1 - Theory:</strong>&nbsp;Complete this part of your course online at home or work in your own time (stop and start learning when it suits you). Can be completed on multiple devices - smart phones, kindle, laptop, tablet etc.<br fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">PART 2 - Skills and Practical Development:</strong><br fr-original-style="" style="box-sizing: border-box;">Safely and competently set up and maintain a Peripheral IV Infusion.<br fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"></strong></p><p style="color: rgb(85, 85, 85); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(85, 85, 85);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Attend a classroom location to complete your practical training.<br fr-original-style="" style="box-sizing: border-box;"></strong></p><div style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(0, 0, 0);"><p style="color: rgb(85, 85, 85); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(85, 85, 85);"><span style="color: rgb(184, 49, 47); box-sizing: border-box;" fr-original-style="color: rgb(184, 49, 47);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;">Please make sure you verify the precise dates and timings of your course when you receive your booking confirmation, as it may vary from the information provided above.<br fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></span></p></div><div style="color: rgb(85, 85, 85); box-sizing: border-box;" fr-original-style=" color: rgb(85, 85, 85);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course Itinerary:</strong></div><div style="color: rgb(85, 85, 85); box-sizing: border-box;" fr-original-style=" color: rgb(85, 85, 85);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></div><p style="color: rgb(85, 85, 85); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(85, 85, 85);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">PART 1 - THEORY (ONLINE)</strong><br fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 128, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 128, 0);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">M1 - Peripheral IV Cannulation - Introduction:</strong></span><br fr-original-style="" style="box-sizing: border-box;">Definitions - understanding terminology relating to PIVC.<br fr-original-style="" style="box-sizing: border-box;">IV Therapy and NMC guidelines.<br fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 128, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 128, 0);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">M2 - Legal &amp; Professional Responsibilities:</strong></span><br fr-original-style="" style="box-sizing: border-box;">Legal Obligations and Accountability. Criminal, Civil and<br fr-original-style="" style="box-sizing: border-box;">Contractual law in Healthcare. Vicarious Liability and your<br fr-original-style="" style="box-sizing: border-box;">Duty of Care.<br fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 128, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 128, 0);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">M3 - Anatomy &amp; Physiology:</strong></span><br fr-original-style="" style="box-sizing: border-box;">Sites appropriate to IV cannulation. Hand vs. arm.<br fr-original-style="" style="box-sizing: border-box;">Advantages and disadvantages of relevant veins.<br fr-original-style="" style="box-sizing: border-box;">An overview of Homeostasis and Fluid Balance.<br fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 128, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 128, 0);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">M4 - Hygiene and Infection Prevention &amp; Control (IPC):</strong></span><br fr-original-style="" style="box-sizing: border-box;">Reducing healthcare-associated infections. Keeping Safe.<br fr-original-style="" style="box-sizing: border-box;">Bloodborne Pathogens and Work Practice Controls.<br fr-original-style="" style="box-sizing: border-box;">Standard Precautions. Waste Disposal. Needle-stick injuries.<br fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 128, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 128, 0);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">M5 - Indications and Advantages:</strong></span><br fr-original-style="" style="box-sizing: border-box;">When to cannulate, infusion types and benefits over<br fr-original-style="" style="box-sizing: border-box;">alternative infusion routes. Continuous and intermittent infusion.<br fr-original-style="" style="box-sizing: border-box;">Prophylactic use before procedures and in unstable patients.<br fr-original-style="" style="box-sizing: border-box;">Contraindications.<br fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 128, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 128, 0);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">M6 - Equipment:</strong></span><br fr-original-style="" style="box-sizing: border-box;">Cannula types, sizes and colour coding. How to select<br fr-original-style="" style="box-sizing: border-box;">appropriate size. Equipment overview for total procedure.<br fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 128, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 128, 0);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">M7 - Vein Choice for Cannulation:</strong></span><br fr-original-style="" style="box-sizing: border-box;">Correct vein selection. Which veins to avoid.<br fr-original-style="" style="box-sizing: border-box;">How to manage an unsuccessful cannulation.<br fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 128, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 128, 0);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">M8 - Procedures:</strong></span><br fr-original-style="" style="box-sizing: border-box;">Full procedure for cannulation including correct documentation.<br fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 128, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 128, 0);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">M8: Guide to Cannulation - revision</strong></span><br fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 128, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 128, 0);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">M8: Video - Recap with full procedure</strong></span><br fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 128, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 128, 0);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">M9 - Contraindications:</strong></span><br fr-original-style="" style="box-sizing: border-box;">When inappropriate to cannulate including patients with specific health conditions.<br fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 128, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 128, 0);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">M10 - Complications:</strong></span><br fr-original-style="" style="box-sizing: border-box;">A detailed look at potential complications during and after<br fr-original-style="" style="box-sizing: border-box;">cannulation, including phlebitis, infections, petechiae and haematomas. Clinical signs and corrective actions.<br fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">PLEASE NOTE THAT PART 1 SHOULD BE COMPLETED</strong><br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">BEFORE JOINING US FOR YOUR PRACTICAL TRAINING</strong><br fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">PART 2 (CLASSROOM:</span><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"></strong></strong><br fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(128, 0, 128); box-sizing: border-box;" fr-original-style=" color: rgb(128, 0, 128);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">1 - Welcome, introductions and overview:</strong></span><br fr-original-style="" style="box-sizing: border-box;">Classroom - registration and introductions.<br fr-original-style="" style="box-sizing: border-box;">Virtual Classroom - audio/visual checks and registration.<br fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(128, 0, 128); box-sizing: border-box;" fr-original-style=" color: rgb(128, 0, 128);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">2 - Legal &amp; Professional Responsibilities:</strong></span><br fr-original-style="" style="box-sizing: border-box;">Overview and discussion.<br fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(128, 0, 128); box-sizing: border-box;" fr-original-style=" color: rgb(128, 0, 128);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">3 - Anatomy - key points (appropriate to PIVC):</strong></span><br fr-original-style="" style="box-sizing: border-box;">Arteries and veins. Selecting an approprate site. Sites to avoid and &ldquo;first choice&rdquo; sites.<br fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(128, 0, 128); box-sizing: border-box;" fr-original-style=" color: rgb(128, 0, 128);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">4 - Cannulae - selection and types:</strong></span><br fr-original-style="" style="box-sizing: border-box;">A detailed look at different types of cannulas, respective benefits and attributes. Selectinng an appropriate pVAD.<br fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(128, 0, 128); box-sizing: border-box;" fr-original-style=" color: rgb(128, 0, 128);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">5 - Complications:</strong></span><br fr-original-style="" style="box-sizing: border-box;">Complications of pVAD insertion including examples of<br fr-original-style="" style="box-sizing: border-box;">infiltration, haematoma, extravasation and transfixation.<br fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(128, 0, 128); box-sizing: border-box;" fr-original-style=" color: rgb(128, 0, 128);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">6 - VIP Score:</strong></span><br fr-original-style="" style="box-sizing: border-box;">Understanding and using the Visual Infusion Phlebitis score.<br fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(128, 0, 128); box-sizing: border-box;" fr-original-style=" color: rgb(128, 0, 128);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">7 - Equipment - overview:</strong></span><br fr-original-style="" style="box-sizing: border-box;">We take a look at all essential equipment required for PIVC.<br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">8 - PRACTICAL SESSIONS:</strong><br fr-original-style="" style="box-sizing: border-box;">Multiple practical sessions throughout the session.<br fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(128, 0, 128); box-sizing: border-box;" fr-original-style=" color: rgb(128, 0, 128);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">9 - Fluids:</strong></span><br fr-original-style="" style="box-sizing: border-box;">The importance of understanding fluids. Includes detailed overview of: maintenance fluids, Hartmann&rsquo;s solution, Colloids (and risks), blood products.<br fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(128, 0, 128); box-sizing: border-box;" fr-original-style=" color: rgb(128, 0, 128);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">10 - Infusion Rates:</strong></span><br fr-original-style="" style="box-sizing: border-box;">Calculating infusion rates and drops per minute.<br fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><em fr-original-style="" style="box-sizing: border-box;">This course is supported with downloadable resources and may include extra video segments to reinforce your practical training.</em></strong></p><p style="color: rgb(85, 85, 85); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(85, 85, 85);">&nbsp;</p><div style="color: rgb(85, 85, 85); box-sizing: border-box;" fr-original-style=" color: rgb(85, 85, 85);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><em fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">(THE COURSE DELIVERY AWARDS SAME NATIONALLY RECOGNISED AND DUALLY ACCREDITED QUALIFICATION AS OUR VIRTUAL CLASSROOM COURSE VERSION)</strong></em></p></div></div><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></p>

ONLINE STUDY - In your own time (approx. 6 hours study time) +
CLASSROOM SESSION - Morning, Afternoon or Evening session (approx. 3 hours)



Awarding Body: Open College Network (OCN) Credit for Learning
Award Level: Level 3 (Advanced Level) - Ireland Level 5
CPD Certified: Yes (CPD Accreditation)
Minimum Age: 18 (16 with parental consent)
Entry requirements: None. (English Level 2 desirable)
Training Locations: Study online + Classroom
 
OCN Accredited at UK Level 3 (Ireland Level 5)

 
PART 1 - Theory: Complete this part of your course online at home or work in your own time (stop and start learning when it suits you). Can be completed on multiple devices - smart phones, kindle, laptop, tablet etc.

PART 2 - Skills and Practical Development:
Safely and competently set up and maintain a Peripheral IV Infusion.


Attend a classroom location to complete your practical training.


Please make sure you verify the precise dates and timings of your course when you receive your booking confirmation, as it may vary from the information provided above.


Course Itinerary:
PART 1 - THEORY (ONLINE)
M1 - Peripheral IV Cannulation - Introduction:
Definitions - understanding terminology relating to PIVC.
IV Therapy and NMC guidelines.
M2 - Legal & Professional Responsibilities:
Legal Obligations and Accountability. Criminal, Civil and
Contractual law in Healthcare. Vicarious Liability and your
Duty of Care.
M3 - Anatomy & Physiology:
Sites appropriate to IV cannulation. Hand vs. arm.
Advantages and disadvantages of relevant veins.
An overview of Homeostasis and Fluid Balance.
M4 - Hygiene and Infection Prevention & Control (IPC):
Reducing healthcare-associated infections. Keeping Safe.
Bloodborne Pathogens and Work Practice Controls.
Standard Precautions. Waste Disposal. Needle-stick injuries.
M5 - Indications and Advantages:
When to cannulate, infusion types and benefits over
alternative infusion routes. Continuous and intermittent infusion.
Prophylactic use before procedures and in unstable patients.
Contraindications.
M6 - Equipment:
Cannula types, sizes and colour coding. How to select
appropriate size. Equipment overview for total procedure.
M7 - Vein Choice for Cannulation:
Correct vein selection. Which veins to avoid.
How to manage an unsuccessful cannulation.
M8 - Procedures:
Full procedure for cannulation including correct documentation.
M8: Guide to Cannulation - revision
M8: Video - Recap with full procedure
M9 - Contraindications:
When inappropriate to cannulate including patients with specific health conditions.
M10 - Complications:
A detailed look at potential complications during and after
cannulation, including phlebitis, infections, petechiae and haematomas. Clinical signs and corrective actions.

PLEASE NOTE THAT PART 1 SHOULD BE COMPLETED
BEFORE JOINING US FOR YOUR PRACTICAL TRAINING

PART 2 (CLASSROOM:
1 - Welcome, introductions and overview:
Classroom - registration and introductions.
Virtual Classroom - audio/visual checks and registration.
2 - Legal & Professional Responsibilities:
Overview and discussion.
3 - Anatomy - key points (appropriate to PIVC):
Arteries and veins. Selecting an approprate site. Sites to avoid and “first choice” sites.
4 - Cannulae - selection and types:
A detailed look at different types of cannulas, respective benefits and attributes. Selectinng an appropriate pVAD.
5 - Complications:
Complications of pVAD insertion including examples of
infiltration, haematoma, extravasation and transfixation.
6 - VIP Score:
Understanding and using the Visual Infusion Phlebitis score.
7 - Equipment - overview:
We take a look at all essential equipment required for PIVC.
8 - PRACTICAL SESSIONS:
Multiple practical sessions throughout the session.
9 - Fluids:
The importance of understanding fluids. Includes detailed overview of: maintenance fluids, Hartmann’s solution, Colloids (and risks), blood products.
10 - Infusion Rates:
Calculating infusion rates and drops per minute.

This course is supported with downloadable resources and may include extra video segments to reinforce your practical training.
 
(THE COURSE DELIVERY AWARDS SAME NATIONALLY RECOGNISED AND DUALLY ACCREDITED QUALIFICATION AS OUR VIRTUAL CLASSROOM COURSE VERSION)



Geopace Training

Allied Health Professions (AHP)

Intravenous Cannulation

Aesthetics

Medicine & Nursing

Venepuncture & Cannulation

Learn how to cannulate ...

    Nationally Recognised Qualification

    OCN Accredited - Level 3 (advanced) - Ireland Level 5

    CPD Accredited - The CPD Certification Service

    Classroom or Virtual Classroom options

    Covers all steps for cannulating in arm or hand

    Practise on artificial arms and fake blood!

    Essential qualification for all IV therapies

    Phlebotomy training desirable but not essential

    Basic understanding of English language required

    OPEN TO ALL APPLICANTS


Peripheral I.V. Cannulation Course (GPT008)

Chelmsford

Stratford

Our Site Management Safety Training Scheme (SMSTS) refresher training courses, available both online and in-person, are designed for managers and individuals in positions of authority who completed their original SMSTS training program less than three years ago.

Aims
Participants will undertake a concise yet equally engaging training program covering all essential aspects of enforcing health and safety codes of practice at construction sites. Topics include in-depth discussions on risk assessments and effective methods for monitoring and managing industry-specific hazards.
Instructions
For online courses labeled “Remote Learning,” a tutor will deliver the training via video call.
All SMSTS courses are delivered and assessed in English. Participants must have a good command of the language to successfully complete the program.
Additional attendee information will be provided via email. Please ensure you check your inbox.


SMC Safety Solutions

Site Management Safety Training Scheme (SMSTS) Refresher

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><br fr-original-style="" style="box-sizing: border-box;"></span></p><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">The Real Estate Investor course primarily focuses on financial modelling and commercial considerations in the real estate industry across various sectors, geographies, and project types. This course is designed to provide participants with an in-depth understanding of development cash flow modelling, including the representation of risks associated with costs, methods of development financing, and considerations of investment assets.</span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Apart from modelling office sectors, the course includes modelling of commercial residential development and retail investment assets. The course also expands the geographical investment universe to include modelling of real estate cash flows in a pan-European context, accounting for different indexation rules and methods.</span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Overall, the Real Estate Investor course provides participants with advanced skills and knowledge required to successfully undertake real estate investment projects in a global context.</span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><br fr-original-style="" style="box-sizing: border-box;"></span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Pre-requisite:</strong></span></p><ul fr-original-style="" style="box-sizing: border-box;"><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Completion of the Real Estate Analyst Course</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><br fr-original-style="" style="box-sizing: border-box;"></span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">On this course you will&hellip;</strong></strong></span></p><ul fr-original-style="" style="box-sizing: border-box;"><li value="1" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Revise operational models of real estate assets and stress for core income</li><li value="2" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Apply modelling techniques to an expanded range of real estate sectors and geographies</li><li value="3" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Consider both investment and development cash flows</li><li value="4" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Understand the sources and use of funds</li><li value="5" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Learn about typical debt covenants and how to incorporate them</li><li value="6" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Learn how to optimise debt structures</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><br fr-original-style="" style="box-sizing: border-box;"></span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Who will benefit from this course?</strong></strong></span></p><ul fr-original-style="" style="box-sizing: border-box;"><li value="1" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Real Estate professionals at any level with exposure to real estate financial models</li><li value="2" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Mid-level to senior Real Estate Analysts who would like to advance their financial modelling skills in areas such as development, debt structures and return metrics</li><li value="3" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Analysts and Modellers who are making the transition from corporate finance to real estate investment and development</li><li value="4" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Real Estate Analysts and Investors</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><br fr-original-style="" style="box-sizing: border-box;"></span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course Outline</strong></strong></span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Day One</strong></strong></span></p><ul fr-original-style="" style="box-sizing: border-box;"><li value="1" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Modelling international variations in real estate income streams i.e. Includes indexation patterns, rent caps, discounts/premiums to indexation, rent free periods, as well as how to deal with costs during vacancy</li><li value="2" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Modelling sector variations in real estate income streams i.e. Office versus industrial, retail &amp; leisure</li><li value="3" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Further senior debt covenants</li><li value="4" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Advance Rent Function techniques to manage feature rich lease structures</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><br fr-original-style="" style="box-sizing: border-box;"></span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Day Two</strong></strong></span></p><ul fr-original-style="" style="box-sizing: border-box;"><li value="1" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Introduction to development appraisals</li><li value="2" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Residual models, site and profit calculations</li><li value="3" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Development cash flows versus Investment cash flows</li><li value="4" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Introduction to straight line versus S-curve costing</li><li value="5" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Phased asset sales in development appraisals</li><li value="6" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Discounting development cash flows</li><li value="7" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Complimentary return metrics for development appraisals</li><li value="8" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Introduction to development finance</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><br fr-original-style="" style="box-sizing: border-box;"></span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Included in the Course</strong></strong></span></p><ul fr-original-style="" style="box-sizing: border-box;"><li value="1" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">CPD Accredited Certificate &amp; LinkedIn Proficiency Badge</li><li value="2" id="isPasted" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Course Manual - In-Person Course attendees will receive a Physical Copy, Virtual Course attendees will receive a Virtual Copy and have the option to purchase a Hard Copy at an additional fee</li><li value="3" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Course Files</li><li value="4" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Online Learning Platform access - Further Learning Resources (Reading, Files and Videos)</li><li value="5" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Post Course Support - Two Months of Questions &amp; Answers, and One year of support is available for an additional fee</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><br fr-original-style="" style="box-sizing: border-box;"></span></p><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">For more information about the Real Estate Investor such as course delivery methods, pricing and dates, please contact Sam on the Bayfield Training Sales team:</span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">E - s.musgrave@bayfieldtraining.com</span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">T - 01223 517851</span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">W - </span><a href="https://www.bayfieldtraining.com/" target="_blank" rel="nofollow noopener noreferrer ugc" title="https://www.bayfieldtraining.com/" data-airgap-id="125" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">www.bayfieldtraining.com</span></a></p>





The Real Estate Investor course primarily focuses on financial modelling and commercial considerations in the real estate industry across various sectors, geographies, and project types. This course is designed to provide participants with an in-depth understanding of development cash flow modelling, including the representation of risks associated with costs, methods of development financing, and considerations of investment assets.
Apart from modelling office sectors, the course includes modelling of commercial residential development and retail investment assets. The course also expands the geographical investment universe to include modelling of real estate cash flows in a pan-European context, accounting for different indexation rules and methods.
Overall, the Real Estate Investor course provides participants with advanced skills and knowledge required to successfully undertake real estate investment projects in a global context.


Pre-requisite:
Completion of the Real Estate Analyst Course


On this course you will…
Revise operational models of real estate assets and stress for core income
Apply modelling techniques to an expanded range of real estate sectors and geographies
Consider both investment and development cash flows
Understand the sources and use of funds
Learn about typical debt covenants and how to incorporate them
Learn how to optimise debt structures


Who will benefit from this course?
Real Estate professionals at any level with exposure to real estate financial models
Mid-level to senior Real Estate Analysts who would like to advance their financial modelling skills in areas such as development, debt structures and return metrics
Analysts and Modellers who are making the transition from corporate finance to real estate investment and development
Real Estate Analysts and Investors


Course Outline
Day One
Modelling international variations in real estate income streams i.e. Includes indexation patterns, rent caps, discounts/premiums to indexation, rent free periods, as well as how to deal with costs during vacancy
Modelling sector variations in real estate income streams i.e. Office versus industrial, retail & leisure
Further senior debt covenants
Advance Rent Function techniques to manage feature rich lease structures


Day Two
Introduction to development appraisals
Residual models, site and profit calculations
Development cash flows versus Investment cash flows
Introduction to straight line versus S-curve costing
Phased asset sales in development appraisals
Discounting development cash flows
Complimentary return metrics for development appraisals
Introduction to development finance


Included in the Course
CPD Accredited Certificate & LinkedIn Proficiency Badge
Course Manual - In-Person Course attendees will receive a Physical Copy, Virtual Course attendees will receive a Virtual Copy and have the option to purchase a Hard Copy at an additional fee
Course Files
Online Learning Platform access - Further Learning Resources (Reading, Files and Videos)
Post Course Support - Two Months of Questions & Answers, and One year of support is available for an additional fee


For more information about the Real Estate Investor such as course delivery methods, pricing and dates, please contact Sam on the Bayfield Training Sales team:
E - s.musgrave@bayfieldtraining.com
T - 01223 517851
W - www.bayfieldtraining.com

Bayfield Training

Real Estate Finance

Financial Modelling

Financial Analysis

Microsoft Excel

Financial Risk Management

Professional Development

Continuous Professional Development (CPD)

The Real Estate Investor course primarily focuses on financial modelling and commercial considerations in the real estate industry across various sectors, geographies, and project types.

Real Estate Investor (Advanced Development Cash Flow Modelling in Excel)

<p id="isPasted" style="box-sizing: border-box; font-size: 16px; color: var(--text); font-family: sans-serif; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;" fr-original-style="box-sizing: border-box; font-size: 16px; color: var(--text); font-family: sans-serif; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;"><strong style="box-sizing: border-box; font-weight: 700;" fr-original-style="box-sizing: border-box; font-weight: 700;">LOOKING FOR:</strong> ADULT FICTION, NON-FICTION</p><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Imogen Pelham</strong> has been at <a href="http://www.marjacq.com" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Marjacq</a> since 2015, and has worked as a literary agent for more than a decade. She represents literary fiction and some upmarket commercial fiction, as well as a wide range of non-fiction. Imogen&#39;s looking for fiction with a strong premise, a surprise twist, or sharp humour. Recent favourites include <em fr-original-style="" style="box-sizing: border-box;">Leave The World Behind</em> by Rumaan Alam, <em fr-original-style="" style="box-sizing: border-box;">Early Morning Riser</em> by Katherine Heiny, and <em fr-original-style="" style="box-sizing: border-box;">Sorrow &amp; Bliss</em> by Meg Mason. Her non-fiction list includes history, memoir, medicine and psychology. She is particularly interested in identity, the arts and investigative journalism.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Imogen would like you to submit a covering letter, 1 - 2 page synopsis and the first 10,000 words of your manuscript in a single word document.</strong></p><p style="box-sizing: border-box; font-size: 16px; color: var(--text); font-family: sans-serif; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;" id="isPasted" fr-original-style="box-sizing: border-box; font-size: 16px; color: var(--text); font-family: sans-serif; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;">(<em style="box-sizing: border-box;" fr-original-style="box-sizing: border-box;">In addition to the paid sessions, Imogen is kindly offering one free session for low income/under-represented writers. Please email <a href="mailto:agent121@iaminprint.co.uk" style="box-sizing: border-box; text-decoration: inherit; cursor: pointer; user-select: auto; font-size: var(--font-size);" fr-original-style="box-sizing: border-box; text-decoration: inherit; cursor: pointer; user-select: auto;">agent121@iaminprint.co.uk</a> to apply, outlining your case for this option which is offered at the&nbsp;</em><em style="box-sizing: border-box;" fr-original-style="box-sizing: border-box;">discretion of&nbsp;</em><em style="box-sizing: border-box;" fr-original-style="box-sizing: border-box;">I Am In Print)</em>.&nbsp;</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">By booking you understand you need to conduct an internet connection test with<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&nbsp;</strong><em style="box-sizing: border-box;" fr-original-style="box-sizing: border-box;">I Am In Pr</em><em style="box-sizing: border-box;" fr-original-style="box-sizing: border-box;">int</em> prior to the event. You also agree to email your material in one document to reach <em fr-original-style="" style="box-sizing: border-box;">I Am In Print</em> by the stated submission deadline and note that <em style="box-sizing: border-box;" fr-original-style="box-sizing: border-box;">I Am In Print</em> take no responsibility for the advice received during your agent meeting.</p><p style="box-sizing: border-box; font-size: 16px; color: var(--text); font-family: sans-serif; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;" fr-original-style="box-sizing: border-box; font-size: 16px; color: var(--text); font-family: sans-serif; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;"><strong style="box-sizing: border-box; font-weight: 700;" fr-original-style="box-sizing: border-box; font-weight: 700;">The submission deadline is: Monday 9 September 2024</strong></p>

LOOKING FOR: ADULT FICTION, NON-FICTION

Emily MacDonald joined 42 management and production company in 2019, working with Eugenie Furniss across her clients. She is now an agent in the Books Department, and is building her own list.

Send Emily a story with characters that just won't leave her and a narrative that pulls her in, keeping her immersed in the world well after she has finished reading. She reads across a wide-range and has a particular interest in: book club, high-concept crime/thriller, upmarket and literary fiction. 

In fiction, Emily would love to find a crime/thriller set within a subcult: a modern retelling of British folklore (think Kamila Shamsie’s Home Fire); an unconventional love story; and a character led journey of self-discovery (especially one set within a diasporic community). 

Emily is also looking for narrative non-fiction which immerses the reader into an untold true story (personal or historical), exploring a new point of view, and providing a compelling social commentary, with an investigative twist. Think the obsessive vein of Kirk W. Johnson or personal/political dispatches of Aidan Hartley. Emily wants her horizons to expand while she reads.

In both fiction and non-fiction, Emily loves stories woven into their surroundings, where the setting is as central a character as those who drive the narrative.

In both spheres, she is keen to hear from Scottish and regional voices with stories to tell.

Please note, Emily is not currently accepting submissions for Children's lit/YA and SFF.

Emily would like you to submit a covering letter, 1 - 2 page synopsis and the first 5,000 words of your manuscript in a single word document.

(In addition to the paid sessions, Emily is kindly offering one free session for low income/under-represented writers. Please email agent121@iaminprint.co.uk to apply, outlining your case for this option which is offered at the discretion of I Am In Print). 

By booking you understand you need to conduct an internet connection test with I Am In Print prior to the event. You also agree to email your material in one document to reach I Am In Print by the stated submission deadline and note that I Am In Print take no responsibility for the advice received during your agent meeting.

The submission deadline is:  Wednesday 6th August 2025 at 12 noon UK BST

I Am In Print

SOLD OUT! 13th August Emily MacDonald #Agent121. Looking for: ADULT FICTION, NON-FICTION

<p style="color: rgb(51, 51, 51); font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Communication is the essence of Leadership.</strong> This programme is the premiere of our leadership courses focusing on creating a culture of positive interaction, clear and respectful exchanges, all the while keeping high-performance productivity, ownership, and innovation in the forefront.</p><p style="color: rgb(51, 51, 51); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Before the start of the learning session, delegates complete<b fr-original-style="" style="box-sizing: border-box;">&nbsp;the&nbsp;</b>TruTalent&trade; Learning &amp; Productivity (TTL &amp; P), a 20-minute online survey of an individual&rsquo;s productivity preferences and learning styles.&nbsp;</strong>The assessment identifies the individual&rsquo;s work and learning preferences for 4 styles and 12 environmental and mindset preferences. These elements affect, positively or negatively, how each individual achieves and performs in work-based learning environments. They also affect the way in which individuals concentrate, make decisions, solve problems, process information, approach and complete tasks, retain new and complex information, develop new skills, and interact with others.</p><h5 style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">DELEGATES WILL BE ABLE TO:</strong></h5><ul style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Use the TruTalent&trade; Learning &amp; Productivity assessment&nbsp;to increase productivity and</strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&nbsp;maximise performance;</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Set meaningful professional goals and celebrate success for incremental progress toward achievement;</strong></li></ul><ul style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Inspire innovation with teams to increase ownership and accountability;</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Empower employees and increase engagement with effective, positive</strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&nbsp;feedback;</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Focus on positivity, setting an example for others that we are an organisation of &ldquo;yes&rdquo; and solutions; and</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Improve spoken and written communications, creating an authoritative image of expertise.</strong></li></ul><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">&nbsp;</p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><i style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">Online Format&mdash;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Leadership &amp; Management Development</strong> is a 4-hour interactive virtual class.</i></p><h6 style="color: inherit; box-sizing: border-box;" fr-original-style=" color: inherit;">Register for this class and you will be sent ONLINE login instructions prior to the class date.</h6><div style="color: rgb(33, 37, 41); box-sizing: border-box;" fr-original-style=" color: rgb(33, 37, 41);"><br fr-original-style="" style="box-sizing: border-box;"></div><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; -webkit-user-select: none; box-sizing: border-box;"><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(0, 0, 0);">After a two-day seminar, our attendees remained in their seats wanting more from Dr Atkins. His direct, yet challenging approach to presenting topics seemed to mesmerize the participants. Many very lively discussions were part of our workshop&rsquo;s context. Personally, I am very interested in re-booking this type of experience every year for new leaders to undergo!</p><span style="color: rgb(33, 37, 41); box-sizing: border-box;" fr-original-style="color: rgb(33, 37, 41);">Michael J. Whitlock, Director of Fay Corey Union &amp; Conferences |&nbsp;</span><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">SUNY Cortland</span>

Communication is the essence of leadership. This programme is the flagship of our leadership courses, focusing on creating a culture of positive interaction and clear, respectful exchanges whilst maintaining high-performance productivity, ownership, and innovation.

Prior to the learning session, delegates complete the TruTalent™ Learning & Productivity (TTL & P), a 20-minute online survey assessing individual productivity preferences and learning styles. This assessment identifies work and learning preferences across 4 styles and 12 environmental and mindset preferences. These elements significantly influence how individuals achieve and perform in work-based learning environments. They also affect how people concentrate, make decisions, solve problems, process information, approach and complete tasks, retain new and complex information, develop new skills, and interact with others.

Throughout the course, delegates will learn how to:
Utilise the TruTalent™ Learning & Productivity assessment to increase productivity and maximise performance 
Set meaningful professional goals and celebrate success for incremental progress towards achievement 
Inspire innovation within teams to increase ownership and accountability 
Empower employees and increase engagement through effective, positive feedback 
Focus on positivity, setting an example for others that the organisation embraces a "yes" and solutions-oriented approach 
Improve spoken and written communications, creating an authoritative image of expertise 

This Leadership Skills course is a 4-hour interactive virtual class. 

Upon registration, delegates will receive online login instructions prior to the class date. This format allows for a collaborative learning experience from the comfort of one's own home or office, enabling leaders to enhance their skills and drive organisational success.

Improving Communications Uk

LEADERSHIP & MANAGEMENT DEVELOPMENT

Portsmouth

Luton

Berkshire

Essex

BASIC to ADVANCED COURSE PACKAGE

Complete 3 courses over 2 full days and receive three qualifications:

Introduction to Phlebotomy Certificate (Nationally Recognised Level 3, Ireland Level 5)
Days 1 and 2: 9.30am – 5.00pm

Advanced Phlebotomy Certificate (Nationally Recognised Level 4, Ireland Level 6)
Day 1: 5.30pm - 8.30pm

Geopace Certificate of Competency (Nationally Recognised Accredited, CPD Practical Skills)
Day 2: 5.30pm - 8.30pm

Please make sure you verify the precise dates and timings of your course when you receive your booking confirmation, as it may vary from the information provided above.






Key Facts & Summary:


COURSE 1: INTRODUCTION TO PHLEBOTOMY COURSE - NATIONALLY RECOGNISED AND ACCREDITED VENEPUCTURE COURSE
UK Level Three (Ireland Level Five)
DUALLY ACCREDITED - Open College Network (OCN) and The CPD Certification Service (21 CPD Points)

PART 1 (DAY 1) - 9.30am to 5.00pm
PART 2 (DAY 2) - 9.30am to 5.00pm

Adheres to World Health Organisation guidelines (meets or exceeds all guidelines) and Skills for Health Directive HSC376

A TWO DAY venepuncture course at Level 3. Trains up to the point of live blood draws.

On completion awards a Nationally Recognised and Accredited Certificate in Phlebotomy.

DAY ONE (PART 1) - THEORY
Attend the course location of your choice – starts at 9.30am and finishes approx. 5.00pm

DAY TWO (PART 2) - CLASSROOM
Your classroom tutor will recap on the theory element (above) after which you will begin your practical sessions learning and developing the skills required up to the point of Live Blood Draws.

DOWNLOAD A COURSE ITINERARY HERE



COURSE 2: ADVANCED PHLEBOTOMY COURSE - NATIONALLY RECOGNISED AND ACCREDITED VENEPUCTURE COURSE
UK Level Four (Ireland Level 6)
DUALLY ACCREDITED - Open College Network (OCN) and The CPD Certification Service (14 CPD Points)

PART 1 - THEORY
Complete your theory training online in the comfort of your own home or at work.

PART 2 - CLASSROOM
Follow on from your Day One Theory training, in the evening, from 5.30pm - 8.30pm

Adheres to World Health Organisation guidelines (meets or exceeds all guidelines) and Skills for Health Directive HSC376

Skills and Practical Development:
Covers advanced specialised phlebotomy techniques to give you the leading edge as a phlebotomist. Learn to use a wide range of non-routine equipment.

On completion awards a Nationally Recognised and Accredited Certificate in Advanced Phlebotomy.

DOWNLOAD A COURSE ITINERARY HERE



COURSE 3: ROUTE TO COMPETENCY MASTERCLASS
CPD ACCREDITED - The CPD Certification Service

CLASSROOM
Follow on from your Day Two practical training, in the evening, from 5.30pm - 8.30pm

Adheres to World Health Organisation guidelines (meets or exceeds all guidelines) and Skills for Health Directive HSC376

GEOPACE LIVE BLOOD SESSIONS enabling you to draw human blood under 1-to-1 supervision of your tutor. You will follow a Competency Checklist, signed off by your tutor on completion.

On completion awards a Geopace Certificate of Competency - Nationally Recognised and Accredited Route to Competency - Live Blood Draws Certificate

DOWNLOAD A COURSE ITINERARY HERE




How do I attend?

EITHER -
CLASSROOM OPTION - Attend one of our scheduled classroom locations, completing your Introduction to Phlebotomy Course over 2 days. You will also complete your Advanced Training at the end of the first day and your Competency Training at the end of the second day.

Our Introduction to Phlebotomy and Advanced Phlebotomy Training Kits are supplied at no charge when booking our virtual classroom training option.
If you would like to add one or both of these kits to your classroom training option then these are available to add at time of booking. Our comprehensive training kits each mirror the same equipment and supplies used in the classroom and both include detailed video tutorials, allowing you to continue to practice and "hone" your skills after you have completed your practical training.

OR -

VIRTUAL CLASSROOM OPTION- Complete your theory training online at home or work, then join us for a one day Zoom session to complete your Introduction to Phlebotomy virtual classroom training, followed by your Advanced Training in the evening of the same day. You have the option to add a classroom-based competency session, awarding a CPD Accredited Geopace Certificate of Competency, at time of booking.

Our Virtual Classroom option includes two very comprehensive training kits - one for your introductory course and one for your advanced course. Kits are included at no charge (normally £79.95 each) and are yours to keep and to continue to practice with after you have finished your courses. The equipment and supplies included in your kits are the same as those used if you choose the classroom option.

How do I book?

Choose whether you would like to attend in a classroom or if you would like to complete your training by virtual classroom.
Click on the Classroom - Booking Options or Virtual Classroom - Booking Options buttons below to see all upcoming dates and locations.

Please note - Competency Training
Our Route to Competency Masterclass - Live Blood Sessions can only be completed in a classroom environment. This is included when you book a classroom option. When booking the virtual classroom option you can choose to add this at time of booking. You will receive a voucher code to enable you to book onto any upcoming dates or locations. For most of our two day course we run our competency training at the end of the second day and therefore you should be able to complete your full training programme with us over two days.

If you are completing your training by virtual classroom please see our list of competency training locations here.

If you would like to "mix and match" your training dates and/or locations then please call our admin team on 01525 713377 who will be more than happy to put a training package together for you on dates and / or locations that suit you.

All courses are accredited and are Skills for Health & WHO compliant.

Allied Health

Blood Taking

Healthcare Workers

Venepuncture

Phlebotomist

Phlebotomy

Accredited Phlebotomy

Healthcare

THIS COURSE PACKAGE INCLUDES:
1: INTRODUCTION TO PHLEBOTOMY COURSE (GPT003) - Level 3 (Ireland Level 5)
2: ADVANCED PHLEBOTOMY COURSE (GPT005) - Level 4 (Ireland Level 6)
3: GEOPACE COMPETENCY CERTIFICATE - CPD Certified (optional with Virtual Classroom)

Learn how to take blood ... train as a Phlebotomist

FAST-TRACK YOUR PHLEBOTOMY TRAINING

WITH OUR

COMPLETE TRAINING PACKAGE

20% off -  Multi-Course Discount

    Cover all stages from beginner through to Level 4

    Available as Classroom or Virtual Classroom

    Complete your beginner to advanced training in 2 days

    Awards 2 accredited qualifications - Introduction to Phlebotomy and Advanced Phlebotomy qualifications

    Both courses are dually accredited (OCN & CPD)

    Geopace Certificate of Competency included with classroom attendance or available as an option when booking virtual classroom

    Covers all steps up to live blood draw

    Learn advanced skills and techniques

    Virtual Classroom options include comprehensive Practise@Home Training Kits (yours to keep)

    Basic understanding of English language required

    OPEN TO ALL APPLICANTS


Phlebotomy Training - Beginner to Advanced PACKAGE

<p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The professional working world has changed more rapidly than could have been envisaged at the time of the introduction of GDPR and the Data Protection Act 2018. With more people working from home post-Covid and the ever increasing risk of cyber-attacks, this short course is aimed at taking stock of current practice and risk, as well as considering ICO enforcement action and the implications of hybrid working. &nbsp;It is also a great recap on the rules as they stand and what you need to know to comply. &nbsp;The course will cover:</p><ul type="disc" fr-original-style="" style="box-sizing: border-box;"><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">UK GDPR - A timely reminder of the rules</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">ICO enforcement action and what we can learn</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Data Protection Impact Assessments - when and how to do them</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Hybrid working and UK GDPR</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Managing cyber attacks from a UK GDPR perspective</li></ul><h2 data-key="21" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><span data-key="22" fr-original-style="" style="box-sizing: border-box;"><span data-offset-key="22:0" fr-original-style="" style="box-sizing: border-box;">Target Audience</span></span></h2><p data-key="23" data-slate-fragment="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" style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><span data-key="24" fr-original-style="" style="box-sizing: border-box;"><span data-offset-key="24:0" fr-original-style="" style="box-sizing: border-box;">The online course is suitable for staff of all levels, from support staff to senior partners.</span></span></p><h2 style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(0, 0, 0);">Resources</h2><p data-key="28" style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><span data-key="29" fr-original-style="" style="box-sizing: border-box;"><span data-offset-key="29:0" fr-original-style="" style="box-sizing: border-box;">Course notes will be provided to all delegates which may be useful for ongoing reference or cascade training.</span></span></p><p data-key="30" data-slate-fragment="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" style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><span data-key="31" fr-original-style="" style="box-sizing: border-box;"><span data-offset-key="31:0" fr-original-style="" style="box-sizing: border-box;">Please note a recording of the course will&nbsp;</span><span data-offset-key="31:1" fr-original-style="" style="box-sizing: border-box;"><strong data-slate-leaf="true" fr-original-style="" style="font-weight: 700; box-sizing: border-box;">not&nbsp;</strong></span><span data-offset-key="31:2" fr-original-style="" style="box-sizing: border-box;">be made available.</span></span></p><h2 data-key="35" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><span data-key="36" fr-original-style="" style="box-sizing: border-box;"><span data-offset-key="36:0" fr-original-style="" style="box-sizing: border-box;">Speaker</span></span></h2><h3 data-key="37" style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(0, 0, 0);"><a href="http://dglegal.co.uk/the-team/matthew-howgate/" style="color: rgb(0, 140, 165); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(0, 140, 165);"><span style="color: rgb(0, 180, 205); box-sizing: border-box;" fr-original-style="color: rgb(0, 180, 205);">Matthew Howgate, Consultant, DG Legal</span></a></h3><p data-key="39" style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Matt is a non-practising solicitor who has considerable experience in regulatory issues and advising on complex issues of compliance and ethics. He is also an expert in data protection, UK GDPR and on the civil legal aid scheme.</span></p><p data-key="39" style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style="color: rgb(0, 0, 0);">Matthew is a lead trainer on and co-developed the LAPG Certificate in Practice Management (a training programme for legal managers and law firm owners) as well as regularly providing training on legal aid Supervision, costs maximisation, data protection and security and on general SRA compliance. &nbsp;</span></span></p>

The LAA operates a strict compliance regime when it comes to auditing crime lower bills, and mistakes can often result in a Contract Notice, corrective action, and further follow-up activity within 6 months. 

This course will take you through the various aspects of crime lower billing, with discussions on topics such as what is and is not claimable; how you apply series of offences guidance; what evidence is required to claim a trial fee when a matter is discontinued; how do the LAA audit travel and other disbursement claims (including the rules when instructing an agent); and what evidence must be present on files to avoid any issues on audit. 

Key aspects of the Crime Contract, Criminal Bills Assessment Manual and Codes Guidance will be included, along with a discussion of common errors that are made; and how to claim non-standard and escape fee matters. 

Target Audience
This online course is aimed at anyone involved in billing Legal Aid Police Station and Magistrates Court matters or managing an LAA Crime Contract. 
Resources
Course notes will be provided to all delegates which may be useful for ongoing reference or cascade training.

Please note a recording of the course will not be made available.
Speaker
Steve Keeling, Consultant, DG Legal
Steve joined DG Legal after leaving the Legal Aid Agency in August 2016. In his 17 years at the LAA, he worked in the audit team as both auditor and manager and was a Contract Manager for several years.

Steve is also a certified SQM auditor and undertakes audits on behalf of Recognising Excellence as well as running training sessions for the SQM Audit Team periodically.

DG Legal

Legal Aid - Crime Lower Billing Course

General Delegate

A discount is available for delegates attending from firms with a current retainer contract with DG Legal (please contact us by email to admin@dglegal.co.uk for confirmation of eligibility).   If you choose this option and are not eligible, you are still bound to pay the full rate and will be invoiced accordingly.

Retainer Delegate

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<p style='margin: 0cm 0cm 0.0001pt; font-size: 15px; font-family: Calibri, "sans-serif"; color: var(--text); box-sizing: border-box;' id="isPasted" fr-original-style='margin:0cm;margin-bottom:.0001pt;font-size:15px;font-family:"Calibri","sans-serif";'><span style='font-family: "Segoe UI", "sans-serif"; box-sizing: border-box;' fr-original-style='font-family:"Segoe UI","sans-serif";'><u fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Explainer Video:</strong></u></span></p>

<iframe width="560" height="315" src="https://www.youtube.com/embed/I-lmMCXyzA8?si=ppw5z8XkrJwaocGt" title="YouTube video player" frameborder="0" allowfullscreen="" fr-original-style="" style="box-sizing: border-box;"></iframe>

<p style='margin: 0cm 0cm 0.0001pt; font-size: 15px; font-family: Calibri, "sans-serif"; color: var(--text); box-sizing: border-box;' id="isPasted" fr-original-style='margin:0cm;margin-bottom:.0001pt;font-size:15px;font-family:"Calibri","sans-serif";'><span style='font-family: "Segoe UI", "sans-serif"; box-sizing: border-box;' fr-original-style='font-family:"Segoe UI","sans-serif";'><u fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"></strong></u></span><br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Empower Your Business with Video Editing Fundamentals</strong></strong></p>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">In today&#39;s digital landscape, video has become an indispensable tool for businesses of all sizes to reach a wider audience, build brand awareness, and drive sales. Our comprehensive beginner&#39;s video editing workshop has been designed specifically for business owners who want to get started with using video in their marketing.</p>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">What You&#39;ll Learn:</strong></strong></p>

<ul fr-original-style="" style="box-sizing: border-box;">
<li value="1" fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">The Basics of Video Editing:</strong></strong> Gain a solid understanding of essential video editing concepts, including terminology, editing tools and techniques, and software navigation.</li>
<li value="2" fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Creating Compelling Video Content:</strong></strong>&nbsp;Discover the secrets to producing engaging videos that capture attention, communicate your message effectively, and align with your brand identity.</li>
<li value="3" fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Mastering Editing Techniques:</strong></strong>&nbsp;Learn to use simple techniques that will make editing videos easier.</li>
</ul>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Workshop Benefits:</strong></strong></p>

<ul fr-original-style="" style="box-sizing: border-box;">
<li value="1" fr-original-style="" style="box-sizing: border-box;">Gain the skills to create professional-looking videos without prior editing experience.</li>
<li value="2" fr-original-style="" style="box-sizing: border-box;">Learn how to effectively use video editing software to produce high-quality content.</li>
<li value="3" fr-original-style="" style="box-sizing: border-box;">Discover storytelling techniques and editing strategies to create engaging videos that resonate with your target audience.</li>
<li value="4" fr-original-style="" style="box-sizing: border-box;">Enhance your marketing efforts with compelling video content that drives brand awareness and sales.</li>
</ul>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Who Should Take This Workshop:</strong></strong></p>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This workshop is ideal for business owners, entrepreneurs, and marketing professionals who want to incorporate video into their marketing strategies but lack prior editing experience.</p>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Workshop Prerequisites:</strong></strong></p>

<ul fr-original-style="" style="box-sizing: border-box;">
<li value="1" fr-original-style="" style="box-sizing: border-box;">A basic understanding of computers and the internet</li>
<li value="2" fr-original-style="" style="box-sizing: border-box;">A willingness to learn and practice new skills</li>
</ul>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Workshop Format:</strong></strong></p>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This workshop is delivered online on Zoom.</p>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Workshop Duration:</strong></strong></p>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This workshop has been broken down into three sessions and runs over three weeks. Each session is run on a Friday from 12 to 2 PM so there is no information overload.</p>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Don&#39;t miss out on this opportunity to empower your business with the power of video editing. Enrol in our beginner&#39;s video editing workshop today and start creating captivating videos that drive engagement, boost conversions, and elevate your business to new heights of success.</p>
</div></div></div></div>

Explainer Video:


What You'll Learn:
The Basics of Video Editing: Gain a solid understanding of essential video editing concepts, including terminology, editing tools and techniques, and software navigation.
Creating Compelling Video Content: Discover the secrets to producing engaging videos that capture attention, communicate your message effectively, and align with your brand identity.
Mastering Editing Techniques: Learn to use simple techniques that will make editing videos easier.
Workshop Benefits:
Gain the skills to create professional-looking videos without prior editing experience.
Learn how to effectively use video editing software to produce high-quality content.
Discover storytelling techniques and editing strategies to create engaging videos that resonate with your target audience.
Enhance your marketing efforts with compelling video content that drives brand awareness and sales.
Who Should Take This Workshop:
This workshop is ideal for business owners, entrepreneurs, and marketing professionals who want to incorporate video into their marketing strategies but lack prior editing experience.
Workshop Prerequisites:
A basic understanding of computers and the internet
A willingness to learn and practice new skills
Workshop Format:
This workshop is delivered online on Zoom.
Workshop Duration:
This workshop has been broken down into three sessions and runs over three weeks. Each session is run on a Friday from 12 to 2 PM so there is no information overload.
Don't miss out on this opportunity to empower your business with the power of video editing. Enrol in our beginner's video editing workshop today and start creating captivating videos that drive engagement, boost conversions, and elevate your business to new heights of success.

Clockwork Eye Video

Video

Video Marketing

Video Creation

Mobile Video Production

Video Design

Video Production

Video Editing

Video & Mobile Marketing

This video editing workshop equips you with the essential skills to create professional-looking videos for your business, even if you've never edited before.

Beginner's Guide to Video Editing (Interactive Workshop)

Bournemouth

Our Virtual (via Zoom) course provide the same high-quality tuition as our classroom-based sessions. Quarterly meetings will take place at the Academy



Dental Nursing Diploma with National Examining Board for Dental Nurses (NEBDN) is an internationally recognised qualification that will allow you to work as a Dental Nurse in hospitals, NHS and private dental practices.

Successful completion of Dental Nursing Diploma course will enable you to register as a Dental Care Professional with the General Dental Council (GDC) and practice as a qualified Dental Nurse.


Discover the exciting world of dental nursing and be a part of a growing field that offers endless opportunities for growth and development.
How will you learn?
In addition to our traditional class-based tuition, we also offer Virtual (via Zoom) Learning courses to cater to different learning preferences. Our Virtual Learning courses provide the same high-quality tuition as our classroom-based sessions. To participate, you will need a laptop, PC, smart phone or tablet with a built-in or external camera and microphone. From the comfort of your own home, you will have the opportunity to communicate with your tutor and classmates through video chat, using your phone or computer camera. This allows for seamless interaction, discussions, and collaborative learning.

Quarterly meetings at the Academy
To ensure a well-rounded learning experience, you will be required to attend face-to-face lessons at the Academy on a quarterly basis, which means every three months. These sessions serve several important purposes:

Practical Units: Some aspects of the course require hands-on practical training. The face-to-face lessons will cover these practical units, allowing you to gain valuable experience and apply the knowledge you have acquired during the virtual learning sessions.

Tests and Mock Exams: These assessments are important for evaluating your progress, identifying areas for improvement, and preparing you for the final exams. The Academy will provide a controlled and supervised environment to ensure the integrity and fairness of these assessments.
Attending quarterly face-to-face lessons provides a balanced approach to your learning journey. It combines the convenience and flexibility of virtual learning with the benefits of in-person interactions, practical training, and assessments. By participating in these sessions, you will have the opportunity to reinforce your knowledge, receive personalized feedback, and build a stronger connection with your tutor and classmates.
The Academy is dedicated to supporting your growth and success in dental nursing field, and the face-to-face lessons are an integral part of that commitment.



Being a Dental Nurse can be an exciting and fulfilling career that allows you to make a positive impact on people’s lives while enjoying a variety of work and opportunities to learn and grow. You’ll get to work with an amazing dental team and get to know patients, helping them to feel at ease and comfortable during their visit. You’ll be the one behind the scene making sure everything runs smoothly, and you’ll be the one that patients will turn to for assistance. You’ll also get to be a part of the latest advancements in dental technology and treatment. And on top of all that, you get to have a flexible schedule and a good earning potential, with the potential to advance in your career. All in all, being a dental nurse is one of the most exciting and fulfilling career that you can have, and you’ll get to leave work every day knowing you’ve made a real difference in the lives of others.


The course is delivered by Team of Dental Professionals who are examiners, dentists and experienced Dental tutors with years of experience in teaching Dentistry.
Dental Nurses are involved in a wide range of procedures, from routine check-ups to complex surgeries, which can make the job interesting and varied.

Patient-centered care: Dental Nurses have a direct impact on the patient’s experience and can make a positive difference in people’s lives by providing them with quality care.

Professional development: Dental Nurses have the opportunity to continue their education and expand their skills, leading to advancement and new opportunities in the field.
No previous experience required – we will teach you from A to Z.
Do you need a job?
Yes, you will have 3 months’ time from the start of your course to find a placement.
The Academy provides a list of Private and NHS Dental Surgeries, who are regularly contacting us when looking for more Trainee Dental Nurses, so you can contact them directly as a registered student at the Academy. This is a paid job, unless you would like to work voluntary for personal reasons. We also provide a reference letter to the employee in case you need it.
The course is ideal for you if:
You are looking for a qualification that leads to employment
You intend to participate within dentistry and make a positive contribution to the dental health
You wish to learn how to maintain high standards of hygiene, cleanliness, health & safety
You enjoy interacting with multidisciplinary team and different people


The curriculum is based on the GDC (General Dental Council) registration requirements for dental nurses. It sets out the knowledge, skills and behavioural requirements that should be developed and demonstrated. These are set out in terms of professional competencies, with the assessment method clearly outlined (e.g. how the skills and knowledge will be assessed in the final examinations – via written questions such as multiple choice (MCQ) or extended matching questions (EMQ) or via Objective Structured Clinical Examinations – OSCEs). We are proud to announce that our Dental Nursing students has the highest examination pass rate in OSCE examinations!
Free services– workshops, mock exams, eRoE marking and internal moderation.


Earn while you learn could be another benefit for doing this course. We provide a list of Private Surgeries who have been working with us for the last 14 years and looking to recruit more Trainee Dental Nurses.
Working together – At our Dental Department, we prioritise working together with our learners every step of the way. We firmly believe in providing unwavering support, equipping you with the necessary tools, skills, and assistance to ensure your success. We take immense pride in the achievements of our students, with a long list of graduates boasting remarkable success stories. Our commitment to your success serves as the foundation for our own accomplishments
What Can You Expect to Earn as a Dental Nurse? Compared to other caring professions, Dental Nursing is well paid and offers plenty of opportunity for continued training and development. This is great for those looking on a the long-term plan for their career and those who wish to work their way up the ladder through continued learning, experience & hard work. Trainee Dental Nurse salary for standard working week will be around £23,000 per annum. Average wage for a qualified Dental Nurses between £40,417 to £42,350 p.a.
When are the exams?
There are two exams:
1. Multiple choice theory exam. November and March.
2. Practical exam. January and June. 
Record of Experience (eROE)
To be eligible to sit your first exam, you have to complete your electronic Record of Experience (eROE). The eROE has to be submitted to your tutor by 31st Jan for March exam, and 31st August for November exam. 
London Waterloo Academy supports Mouth Cancer Research Foundation and encouraging learners to raise the awareness and participate in annual 10k walk.



Study mode – virtual (via Zoom) live stream lessons combined with a quarterly meetings Saturday/Sunday at the Academy
Duration – 1 year (part time)
Virtual (via Zoom) classes – once a week
Quarterly meetings at the Academy – date are discussed with the group in advance
Next Intake/start dates (please choose one for your course to start):
21 September 2024, Saturday classes from 9am to 11am
Registration fee – £300 (includes: administration, workshops, mock exams, RoE marking, internal moderation of RoE)
Tuition Fees – £1,400 (we offer payment plan, and accept instalments)
Exam fee – £510 will be charged at the point of candidate registration with NEBDN
One day introduction course – for those who are considering/not sure whether to step up into the Dental Industry £50.00
Call us +44 (0) 7484 014980 or email to info@waterlooacademy.co.uk or Facebook – London Waterloo Academy
Office location: The Foundry, 156 Blackfriars Rd, London SE1 8EN (Southwark Station (2-3 min walk) and Waterloo/Blackfriars Station (10 min walk))

London Waterloo Academy

Dental Nurse

Dental Assistant

VIRTUAL DENTAL NURSING DIPLOMA

Registration Fee

Tuition Fee

Exam Fee

One Day Introduction Course

<div data-hook="bgLayers" data-motion-part="BG_LAYER" style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(0, 0, 0);"><br fr-original-style="" style="box-sizing: border-box;"></div><div data-mesh-id="comp-lpba7l9einlineContent" data-testid="inline-content" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><div data-mesh-id="comp-lpba7l9einlineContent-gridContainer" data-testid="mesh-container-content" fr-original-style="" style="box-sizing: border-box;"><div data-testid="richTextElement" fr-original-style="" style="box-sizing: border-box;"><p style="color: rgb(var(--color_15)); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(var(--color_15));"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Everything DiSC Facilitator Training Programme</strong></p><p style="color: rgb(var(--color_15)); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(var(--color_15));">This programme has been specifically designed to help experienced trainers, facilitators and coaches use Everything DiSC and the Five Behaviours assessments, and deliver workshops, with their own clients and in-house teams. Learn how the DiSC suite of behavioural assessments can help to improve workplace relationships and act as a catalyst for change.&nbsp;</p><p style="color: rgb(var(--color_15)); font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(var(--color_15));"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">The </span><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><a href="https://www.discgb.co.uk/everything-disc-facilitator-training" target="_blank" rel="noopener noreferrer" fr-original-style="" style="user-select: auto; text-decoration: inherit; font-size: var(--font-size); box-sizing: border-box; color: inherit; cursor: pointer;" fr-original-class="wysiwyg_underlined_link_cls">Everything DiSC Facilitator Programme</a></span><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"> is delivered via two or three, instructor-led, interactive webinars, using Zoom.</span></p><p style="color: rgb(var(--color_15)); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(var(--color_15));"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">You will receive all of the benefits of joining our network of members, facilitators and coaches and can choose to include an additional session which provides a detailed overview of <a href="https://www.discgb.co.uk/five-behaviours-model" target="_self" style="color: inherit; user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: inherit;">The Five Behaviours</a>. You can also choose to open an online&nbsp;<a href="https://www.discgb.co.uk/epic" target="_blank" style="color: inherit; user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: inherit;">EPIC</a>&nbsp;account with us at a discounted rate straight away or defer this until you are ready to get started issuing your first Everything DiSC and Five Behaviours access codes.&nbsp;</span></p><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">During the programme you will :</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Learn the background to DISC and the key cornerstone principles</li><li fr-original-style="" style="box-sizing: border-box;">Receive and explore your own personal Everything DiSC Workplace profile&nbsp;</li><li fr-original-style="" style="box-sizing: border-box;">Practice using the Supplement for Facilitators</li><li fr-original-style="" style="box-sizing: border-box;">Learn about all of the DISC styles</li><li fr-original-style="" style="box-sizing: border-box;">Find out how to recognise other people&#39;s style</li><li fr-original-style="" style="box-sizing: border-box;">Find strategies for adapting your own style</li><li fr-original-style="" style="box-sizing: border-box;">Experience how Everything DiSC on Catalyst helps to keep DiSC alive</li><li fr-original-style="" style="box-sizing: border-box;">Learn about the full Everything DiSC suite of profiles available</li><li fr-original-style="" style="box-sizing: border-box;">Explore facilitation ideas, tools, techniques and best practices</li></ul><div fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(57, 63, 68); font-size: 16px; box-sizing: border-box;" id="isPasted" fr-original-style="color: rgb(57, 63, 68); font-size: 16px;">We also offer official Certification programmes to enable you to qualify as an Everything DiSC Certified Practitioner :&nbsp;&nbsp;</span><span style="color: rgb(57, 63, 68); font-size: 16px; box-sizing: border-box;" fr-original-style="color: rgb(57, 63, 68); font-size: 16px;"><a href="https://www.discgb.co.uk/everything-disc-certification" style="color: inherit; user-select: auto; text-decoration: inherit; font-size: var(--font-size); box-sizing: border-box; cursor: pointer;" target="_blank" rel="noopener noreferrer" fr-original-style=" color: inherit;" fr-original-class="wysiwyg_underlined_link_cls"><u fr-original-style="" style="box-sizing: border-box;">Everything DiSC&reg; Certification</u></a>&nbsp;programme or&nbsp;</span><span style="color: rgb(57, 63, 68); font-size: 16px; box-sizing: border-box;" fr-original-style="color: rgb(57, 63, 68); font-size: 16px;"><a href="https://www.discgb.co.uk/five-behaviors-certification" target="_blank" rel="noopener noreferrer" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; color: inherit; cursor: pointer; text-decoration: inherit;"><u fr-original-style="" style="box-sizing: border-box;">The Five Behaviours Certification</u> Programme</a></span><span style="color: rgb(57, 63, 68); font-size: 16px; box-sizing: border-box;" fr-original-style="color: rgb(57, 63, 68); font-size: 16px;">.&nbsp;</span></div></div></div></div>

Everything DiSC Facilitator Training Programme
This programme has been specifically designed to help experienced trainers, facilitators and coaches use Everything DiSC and the Five Behaviours assessments, and deliver workshops, with their own clients and in-house teams. Learn how the DiSC suite of behavioural assessments can help to improve workplace relationships and act as a catalyst for change. 
The Everything DiSC Facilitator Programme is delivered via two or three, instructor-led, interactive webinars, using Zoom.
You will receive all of the benefits of joining our network of members, facilitators and coaches and can choose to include an additional session which provides a detailed overview of The Five Behaviours. You can also choose to open an online EPIC account with us at a discounted rate straight away or defer this until you are ready to get started issuing your first Everything DiSC and Five Behaviours access codes. 
During the programme you will :
Learn the background to DISC and the key cornerstone principles
Receive and explore your own personal Everything DiSC Workplace profile
Practice using the Supplement for Facilitators
Learn about all of the DISC styles
Find out how to recognise other people's style
Find strategies for adapting your own style
Experience how Everything DiSC on Catalyst helps to keep DiSC alive
Learn about the full Everything DiSC suite of profiles available
Explore facilitation ideas, tools, techniques and best practices
We also offer official Certification programmes to enable you to qualify as an Everything DiSC Certified Practitioner : Everything DiSC® Certification programme or The Five Behaviours Certification Programme.

DISCGB

Disc

This programme has been specifically designed to help experienced trainers, facilitators and coaches use Everything DiSC and the Five Behaviours assessments, and deliver workshops, with their own clients and in-house teams.

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