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Overview In the dynamic world of property sales, becoming a successful estate agent requires more than just basic knowledge; it demands a comprehensive understanding of the industry. Our Real Estate Agents | Online Course offers an in-depth exploration of all essential aspects of real estate, equipping you with the skills needed to excel as an estate agent. From mastering property valuation and market analysis to learning advanced negotiation techniques, this course is designed to prepare you for a thriving career in real estate. Our online course provides flexible learning options, allowing you to gain expertise in key areas such as property management, client relations, and legal regulations affecting estate agents. With engaging content and practical insights, you'll develop the knowledge and confidence needed to navigate the real estate market and advance your career as a top-notch estate agent. Enrol today and take the first step towards becoming a successful real estate professional. Key Features of the Course: FREE Real Estate Agents CPD-accredited certificate Get a free student ID card with Real Estate Agents training (£10 applicable for international delivery) Lifetime access to the Real Estate Agents course materials The Real Estate Agents program comes with 24/7 tutor support Get instant access to this Real Estate Agents course Learn Real Estate Agents training from anywhere in the world The Real Estate Agents training is affordable and simple to understand The Real Estate Agents training is entirely online How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the Real Estate Agents | Online Course course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Real Estate Agents | Online Course. It is available to all students, of all academic backgrounds. Requirements Our Real Estate Agents | Online Course is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G.There is no time limit for completing this course, it can be studied in your own time at your own pace Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 4 sections • 13 lectures • 07:30:00 total length •Module 1: Estate Agent: An Introduction: 00:04:00 •Module 2: Different Types of Estate Agents: 00:04:00 •Module 3: Getting Started on the Job: 00:04:00 •Module 4: Listing Property: Finding the Sellers: 00:05:00 •Module 5: Valuation Process: 00:05:00 •Module 6: Negotiating as Estate Agent: 00:05:00 •Module 7: Selling Property: Finding the Buyers: 00:05:00 •Module 8: Letting Property: 00:06:00 •Module 9: Technology for Estate Agents: 00:07:00 •Module 10: Regulation of Estate Agents: 00:05:00 •Additional Reading Materials - Real Estate Agents: 06:00:00 •Mock Exam - Real Estate Agents | Online Course: 00:20:00 •Final Exam - Real Estate Agents | Online Course: 00:20:00

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Overview This comprehensive course on Ruby on Rails 5 - Become a Professional Developer will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Ruby on Rails 5 - Become a Professional Developer comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Ruby on Rails 5 - Become a Professional Developer. It is available to all students, of all academic backgrounds. Requirements Our Ruby on Rails 5 - Become a Professional Developer is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 23 sections • 225 lectures • 16:47:00 total length •Course Introduction: 00:06:00 •The Application We're Going to Build: 00:09:00 •Section Introduction gg: 00:01:00 •Introduction to the Command Line Interface in Mac and Linux: 00:10:00 •Installing the X-Code Command Line Tools for Mac: 00:02:00 •Installing Git for Source Code Version Control: 00:03:00 •How to install Homebrew on a Mac: 00:04:00 •Installing GPG Security Systems on a Mac: 00:02:00 •Guide to RVM for Ruby Management: 00:09:00 •Configuring RubyGems and Installing Rails: 00:07:00 •Installing the Postgres Database on a Mac: 00:05:00 •Installing and Working with the Sublime Text Editor: 00:17:00 •Deep Dive into the Command Line - Part 1 of 2: 00:14:00 •Deep Dive into the Command Line - Part 2 of 2: 00:12:00 •PC Environment Setup: Installing Virtual Box: 00:03:00 •Guide to Installing Ubuntu Linux in VirtualBox: 00:10:00 •How to Reboot a Linux Virtual Machine from Terminal: 00:02:00 •Installing Desktop Applications and Ubuntu Navigation Tips and Tricks: 00:09:00 •How to Sign Up for a GitHub Account: 00:03:00 •How to install Git on Linux and Connect to GitHub via SSH: 00:20:00 •How to Securely Install Node and NPM on Linux via NVM: 00:09:00 •Installing the Heroku CLI and the Full Deployment Lifecycle: 00:14:00 •How to install and Work with Sublime Text in Linux: 00:08:00 •PC Setup: Guide for Ruby on Rails and Postgres on Linux - Part 1 of 2: 00:10:00 •PC Setup: Guide for Ruby on Rails and Postgres on Linux - Part 2 of 2: 00:15:00 •Fixing the Role Does Not Exist Error: 00:05:00 •Section Introduction ee: 00:01:00 •Signing Up for a Project Management Account: 00:03:00 •Managing the Project Management Dashboard: 00:08:00 •Importing Project Management Tasks into Pivotal Tracker: 00:01:00 •Creating a Rails Application: 00:11:00 •Generating a Blog for the Portfolio Application Using Rails Scaffolds: 00:11:00 •Analyzing the Rails Process: Index and Show Actions: 00:12:00 •Analyzing the Rails Process: New, Create, Update, Edit, and Destroy Actions: 00:14:00 •Analyzing the Rails Process: Routing with Resources: 00:07:00 •Rails File System Overview: 00:13:00 •Updating the Project Management Dashboard: 00:01:00 •Deep Dive: Analyzing the Application Generator - Part 1: 00:12:00 •Deep Dive: Analyzing the Application Generator - Part 2: 00:17:00 •Section Introduction bb: 00:02:00 •How to Sign Up for a Github Account: 00:03:00 •Generating SSH Keys to Securely Communicate with Github: 00:04:00 •Guide to GitHub: 00:12:00 •How to Update a .gitignore File to Securely Store Secret Credentials: 00:11:00 •Guide to the Markdown Syntax: 00:10:00 •Updating the Git Sprint in the Project Management Dashboard: 00:01:00 •Deep Dive: Analyzing Version Control and Git - Part 1: 00:18:00 •Deep Dive: Analyzing Version Control and Git - Part 2: 00:13:00 •Section Introduction aa: 00:01:00 •Guide to the Rails Controller Generator to Build Pages Part 1: 00:16:00 •Guide to the Rails Controller Generator to Build Pages Part 2: 00:05:00 •Guide to the Rails Model Generator to Build out Data Specific Features: 00:17:00 •Guide to the Rails Model Generator for Building Out the Portfolio Feature: 00:10:00 •Deep Dive: Analyze Rails Generators and How to Customize a Generator - Part 1: 00:15:00 •Deep Dive: Analyze Rails Generators and How to Customize a Generator - Part 2: 00:11:00 •Section Introduction SS: 00:02:00 •Building out a Seeds File for Generating Dynamic Sample Data: 00:15:00 •Implement an Index Action from Scratch in Rails: 00:12:00 •Build the New and Create Functionality from Scratch in Rails: 00:20:00 •Implement the Ability to Edit Database Records from Scratch in Rails: 00:13:00 •How to Use the Link to Method in Rails for Creating Dynamic Links: 00:13:00 •How to Implement the Show Action from Scratch in Rails: 00:12:00 •Building the Ability to Delete Items in Rails: 00:15:00 •How to Implement Custom Routes for Pages in Rails: 00:09:00 •How to Override the Rails Resources Routes for the Show Action: 00:07:00 •How to Implement Permalinks in a Rails Application - Part 1: 00:17:00 •How to Implement Permalinks in a Rails Application - Part 2: 00:05:00 •How to Use Enums in Rails to Manage Data Stages: 00:13:00 •How to Implement a Custom Action in Rails via a Button Click - Part 1: 00:12:00 •How to Implement a Custom Action in Rails via a Button Click - Part 2: 00:10:00 •Updating the Project Management Dashboard and Performing a Pull Request: 00:05:00 •Deep Dive: Rails Routing and Data Flow - Part 1: 00:13:00 •Deep Dive: Rails Routing and Data Flow - Part 2: 00:13:00 •Deep Dive: Rails Routing and Data Flow - Part 3: 00:16:00 •Section Introduction RR: 00:01:00 •Implementing Data Validations in Rails 5: 00:12:00 •Guide to Data Relationships in Rails: 00:16:00 •How to Implement Custom Scopes in Rails 5: 00:16:00 •How to Set Default Values in Rails 5: 00:13:00 •How to Use Concerns in Rails 5: 00:13:00 •Building an Additional Parent/Child Relationship in Rails 5: 00:10:00 •Rails 5 Complex Forms: Configuring Nested Attributes in the Model: 00:17:00 •Rails 5 Complex Forms: Configuring Nested Attributes in the Form: 00:17:00 •Deep Dive: Working with SQL and ActiveRecord in Rails 5 - Part 1: 00:16:00 •Deep Dive: Working with SQL and ActiveRecord in Rails 5 - Part 2: 00:14:00 •Deep Dive: Working with SQL and ActiveRecord in Rails 5 - Part 3: 00:15:00 •Section Introduction QQ: 00:01:00 •How to Install Devise in Rails 5: 00:08:00 •Using Devise to Implement Registrations and Login Functionality: 00:18:00 •Building Custom Routes for Authentication Pages with Devise in Rails 5: 00:03:00 •Enable Users to Logout and Dynamically Render View Content in Rails 5: 00:07:00 •How to Add Custom Attributes to a Devise Based Authentication System: 00:15:00 •How to Use Controller Concerns in Rails 5 for Devise Custom Attributes: 00:15:00 •Integrate Virtual Attributes to Extract First and Last Name Data from a User: 00:17:00 •Deep Dive: Using BCrypt to Implement Encryption in Ruby: 00:19:00 •Section Introduction PP: 00:01:00 •Rails Data Flow Review and Working with Params: 00:14:00 •Using Rails Sessions to Share Data between Pages: 00:19:00 •Refactoring the Session Tracker into a Controller Concern: 00:07:00 •Working with Strong Params in a Rails 5 Controller: 00:13:00 •Deep Dive: Building a Guest User Feature in Rails - Part 1: 00:14:00 •Deep Dive: Building a Guest User Feature in Rails - Part 2: 00:18:00 •Section Introduction OO: 00:03:00 •How to Customize the Rails Master Layout File - Part 1: 00:15:00 •How to Customize the Rails Master Layout File - Part 2: 00:09:00 •Guide to Using Multiple Layout Files in Rails 5: 00:14:00 •Introduction to Rendering Collections via Partials in Rails 5: 00:09:00 •Introduction to Partials in Rails 5: 00:08:00 •How to Send Data to Partials to Generate Custom Behavior in Rails 5: 00:15:00 •Guide to View Helpers in Rails 5: 00:17:00 •How to Use the Rails Content Tag Helper to Auto Generate HTML Code: 00:15:00 •Introduction to Rendering Collections via Partials in Rails 5: 00:09:00 •Guide to Manually Configuring Partials to Work with Collections in Rails: 00:07:00 •Guide to Helpful ActionView Helper Methods in Rails 5: 00:15:00 •Deep Dive: Tips and Tricks to Working with ActionView in Rails 5 - Part 1: 00:12:00 •Deep Dive: Tips and Tricks to Working with ActionView in Rails 5 - Part 2: 00:15:00 •Section Introduction NN: 00:01:00 •How to Utilize Puts Debugging in Rails: 00:08:00 •Guide to Byebug in Rails 5: 00:09:00 •Guide to Debugging with Pry in Rails 5: 00:19:00 •Proper Way to Implement Error Management in a Rails Application - Part 1: 00:15:00 •Proper Way to Implement Error Management in a Rails Application - Part 2: 00:06:00 •Section Introduction MM: 00:01:00 •How to Install Bootstrap 4 into a Rails 5 Application - Part 1: 00:10:00 •How to Install Bootstrap 4 into a Rails 5 Application - Part 2: 00:12:00 •Section Strategy for Building a Custom RubyGem: 00:11:00 •How to Build a RubyGem from Scratch - Part 1: 00:06:00 •How to Build a RubyGem from Scratch - Part 2: 00:15:00 •Section Introduction hh: 00:02:00 •Introduction to Authorization and How to Install the Petergate Gem: 00:08:00 •How to Add Roles to the User Model in Rails 5: 00:05:00 •Guide to Implementing Petergate in Rails 5 Application - Part 1: 00:15:00 •Guide to Implementing Petergate in Rails 5 Application - Part 2: 00:12:00 •Workplace Facilities: 00:35:00 •Portfolio Design Planning for Layout Specific Styles: 00:09:00 •Implementing the Initial Homepage Design in Rails 5 with Bootstrap 4: 00:09:00 •Building a Navigation Partial for the Master Application Layout with Bootstrap: 00:11:00 •Implement a Footer Along with Adding Method Arguments to a Rails View Helper: 00:14:00 •How to Embed a Google Map into a Rails Application: 00:06:00 •Guide to Updating the Styles for the Devise Edit Account Page in Rails: 00:16:00 •How to Override Default Bootstrap Styles for Text Alignment in the Card Class: 00:06:00 •Implementing Styles for the Devise Registration Page with Bootstrap 4: 00:14:00 •How to Design the Login and Password Pages with Bootstrap 4 Form Styles: 00:15:00 •How to Set Default Values for View Helper Method Arguments in Rails 5: 00:04:00 •Integrating a Different Design for a Separate Blog Layout in Rails 5: 00:04:00 •How to Use Bootstrap 4 to Add a Custom Nav Bar to a Blog Layout in Rails: 00:07:00 •Customizing the Design for the Blog Index Page with Bootstrap 4: 00:19:00 •Guide to Adding Styles to the Blog Show and Form Pages with Bootstrap 4: 00:12:00 •Implementing Partials, Pagination, and Font Awesome Icons - Part 1: 00:23:00 •Implementing Partials, Pagination, and Font Awesome Icons - Part 2: 00:23:00 •Initial Design for the Portfolio Index Page with Bootstrap 4: 00:17:00 •Integrating the Portfolio Animated Navigation Slider, Footer, and Index: 00:14:00 •Using the Bootstrap 4 Grid Layout to Style the Portfolio Show Page in Rails: 00:06:00 •Implementing Bootstrap 4 Forms for the Portfolio Form Pages: 00:13:00 •How to Build a View Helper to Dynamically Generate a Nav Bar - Part 1: 00:20:00 •How to Build a View Helper to Dynamically Generate a Nav Bar - Part 2: 00:19:00 •Deep Dive: Rails Asset Pipeline Part 1: 00:01:00 •Deep Dive: Rails Asset Pipeline Part 2: 00:19:00 •Section Introduction LL: 00:01:00 •How to Integrate a Position Attribute and Custom Scope in Rails: 00:12:00 •Installing the jQuery UI and html5sortable JavaScript Libraries in Rails 5: 00:09:00 •Initial Implementation of Drag and Drop Interface in Rails 5: 00:13:00 •Implementing Drag and Drop Functionality into a Ruby on Rails 5 App Part 1: 00:18:00 •Implementing Drag and Drop Functionality into a Ruby on Rails 5 App Part 2: 00:11:00 •Implementing Authorization Rules for Drag and Drop Feature with Petergate: 00:07:00 •Deep Dive: jQuery CoffeeScript in Rails: 00:19:00 •Section Introduction jj: 00:01:00 •Introduction to Using Images and the Rails Asset Pipeline: 00:12:00 •How to Set a Full Size Video Background in Rails with Bootstrap 4: 00:08:00 •Deep Dive: Installing and Configuring Carrierwave for Image Uploads in Rails 5: 00:20:00 •Deep Dive: Integrating Connection to AWS S3 for File Hosting with Carrierwave: 00:14:00 •Implementing File Upload Button Styles and Refactoring Placeholder - Part 1: 00:06:00 •Implementing File Upload Button Styles and Refactoring Placeholder - Part 2: 00:19:00 •Section Introduction ii: 00:01:00 •Difference Between form_form and form_tag in Rails - Part 1: 00:15:00 •Difference Between form_form and form_tag in Rails - Part 2: 00:16:00 •How to Integrate Cocoon in Rails 5 for jQuery Nested Forms: 00:20:00 •Guide to Integrating Alerts that Automatically Fade Away in Rails 5: 00:15:00 •Refactoring Alert Notifications to Use a Shared View Helper in Rails: 00:13:00 •Deep Dive: How to Build an HTML Form from Scratch the Works with Rails: 00:17:00 •Section Introduction ff: 00:03:00 •Integrating the Twitter Gem to Pull in Tweets in Rails 5: 00:20:00 •How to Render Tweets on a Rails View Page: 00:07:00 •Building a Parser View Helper Method to Make Twitter Links Clickable in Rails: 00:15:00 •Customizing the Styles for the Tech News Page with Bootstrap 4: 00:07:00 •Section Introduction cc: 00:01:00 •Running the Comment Generator and Installing the NoSQL Redis Database in Rails 5: 00:18:00 •Building the Comment Form and Required Controller Actions - Part 1: 00:14:00 •Building the Comment Form and Required Controller Actions - Part 2: 00:08:00 •Refactoring the Comment Form into a Partial and Implementing Data Validations: 00:05:00 •Building the jQuery Functions for Processing Comments - Part 1: 00:19:00 •Building the jQuery Functions for Processing Comments - Part 2: 00:05:00 •How to Create a Broadcast with ActionCable in Rails 5: 00:14:00 •Guide to Implementing Live Data Updates in a Rails 5 Application - Part 1: 00:15:00 •Guide to Implementing Live Data Updates in a Rails 5 Application - Part 2: 00:06:00 •Styling the Comment Section and Implementing Gravatar Based Thumbnails in Rails: 00:16:00 •Section Introduction dd: 00:01:00 •Planning Final Project Updates and Assignment: 00:11:00 •Building a Scope to Show the Most Recent Blog Posts and Hiding Draft Posts: 00:09:00 •Hiding the Show Page for Blogs in Draft Mode in Rails 5: 00:04:00 •How to Add a Drop Down Form Element in Rails 5 for Parent/Child Relationships: 00:09:00 •Using the Controller Generator to Build the Topic Features - Part 1: 00:10:00 •Using the Controller Generator to Build the Topic Features - Part 2: 00:11:00 •How to Build a Widget for the Blog to Render Topics in Rails 5: 00:17:00 •How to Implement Radio Buttons in a Rails Form to Update Enum Values: 00:09:00 •Guide to Integrating Markdown and Syntax Highlighting in a Rails 5 Application: 00:13:00 •Integrating Breadcrumbs and Icons for the Blog Show Pages: 00:12:00 •Building a Partial for Managing Admin Actions for Blog Posts: 00:15:00 •How to Implement a Responsive Navigation Bar with Bootstrap 4: 00:11:00 •Updating the Source/Session Tracking System for the New Layouts: 00:14:00 •How to Integrate a Favicon in Rails 5: 00:08:00 •Implementing Responsive Image Components for the Portfolio Layout: 00:06:00 •Adding Card Styles to the About and Contact Pages: 00:09:00 •How to Implement Collapsable Content Components in a Rails 5 Application: 00:09:00 •How to Integrate Bootstrap Progress Bars in a Rails Application: 00:13:00 •How to Integrate Custom Fonts in a Rails 5 Application: 00:17:00 •Updating the Seeds File in Rails: 00:07:00 •Signing Up for and Creating a New Heroku Application: 00:04:00 •How to Deploy a Rails 5 Application to Heroku: 00:13:00 •Working with the Rails Console on Heroku: 00:11:00 •Installing Redis on Heroku for ActionCable Commenting Feature: 00:04:00 •Configuring Action Cable to Work on Heroku: 00:11:00 •How to Implement the Typed.js Library into a Rails 5 Application: 00:12:00 •How to Install and Configure Webpack, Yarn, and jQuery into a Rails 5.1+ App: 00:19:00 •How to Work with Encrypted Credentials in Rails 5.2+: 00:24:00

Embarking on the CompTIA Security+ course is akin to unlocking a treasure trove of cybersecurity knowledge. Imagine standing at the forefront of digital security, equipped with the latest tools and techniques to safeguard information systems. This course, meticulously designed with fourteen comprehensive sections, offers an immersive journey from the basics of risk management to the complexities of securing dedicated systems. The curriculum is tailored to blend theoretical knowledge with real-world applications, ensuring learners grasp the essence of cybersecurity in today's technology-driven world. Whether it's understanding the nuances of cryptography or mastering the art of incident response, CompTIA Security+ is your gateway to becoming a cybersecurity connoisseur. Delving into this course, you'll navigate through a landscape where every section is a stepping stone to mastering security competencies.  The course begins with an introduction to the fundamental principles of cybersecurity, setting the stage for more advanced topics like identity and account management, and securing wireless LANs. Each section is a meticulously crafted module, aimed at building a robust understanding of both the threats and the defenses in the cyber world. By the time you reach the final sections on secure protocols, applications, and testing infrastructure, you will have developed a holistic view of network security, ready to apply your knowledge in a variety of real-world scenarios. CompTIA Security+ is not just a course; it's a journey through the dynamic landscape of network security. As you progress from one section to another, you'll not only learn about securing individual systems and public servers but also about the importance of physical security in protecting digital assets. This course is a blend of theory and practicality, providing an in-depth understanding of the latest security tools and techniques. It's an opportunity to transform yourself into a sought-after professional in the cybersecurity domain, equipped with the knowledge to protect and defend against the ever-evolving cyber threats. Learning Outcomes Develop a comprehensive understanding of risk management strategies and their application in cybersecurity. Acquire proficiency in various cryptographic methods and their importance in securing data. Gain insights into effective identity and account management to enhance system security. Learn to utilize essential security tools for safeguarding individual and network systems. Master the skills to implement and manage security measures for both wired and wireless networks. Why buy this CompTIA Security+? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Certification After studying the course materials of the CompTIA Security+ there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? Individuals aiming to start a career in cybersecurity. IT professionals seeking to deepen their knowledge in network security. System administrators wanting to enhance their security skills. Students interested in acquiring a foundational understanding of cybersecurity principles. Professionals aiming to achieve the CompTIA Security+ certification for career advancement. Prerequisites This CompTIA Security+ does not require you to have any prior qualifications or experience. You can just enrol and start learning.This CompTIA Security+ was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Cybersecurity Analyst: £30,000 - £60,000 annually Information Security Manager: £40,000 - £75,000 annually Network Security Engineer: £35,000 - £65,000 annually Security Consultant: £35,000 - £70,000 annually Systems Administrator (with security specialization): £25,000 - £50,000 annually IT Security Coordinator: £28,000 - £55,000 annually Course Curriculum Section 01: Introduction Introduction to CompTIA Security+ SY0-601 00:03:00 About the CompTIA Security+ SY0-601 Exam 00:03:00 Section 02: Risk Management Defining Risk 00:08:00 Threats and Vulnerabilities 00:07:00 Threat Intelligence 00:11:00 Risk Management Concepts 00:07:00 Security Controls 00:09:00 Risk Assessments and Treatments 00:06:00 Quantitative Risk Assessments 00:07:00 Qualitative Risk Assessments 00:04:00 Business Impact Analysis 00:05:00 Data Types and Roles 00:11:00 Security and the Information Life Cycle 00:09:00 Data Destruction 00:06:00 Personnel Risk and Policies 00:10:00 Third-Party Risk Management 00:09:00 Agreement Types 00:07:00 Exam Question Review 00:02:00 Wiping Disks with the dd Command Lab 00:06:00 Ask Me Anything (AMA) 00:02:00 Section 03: Cryptography Cryptography Basics 00:16:00 Data Protection 00:09:00 Cryptographic Methods 00:07:00 Symmetric Cryptosystems 00:13:00 Symmetric Block Modes 00:08:00 Asymmetric Cryptosystems 00:13:00 Diffie-Hellman 00:07:00 Hashing 00:09:00 Understanding Digital Certificates 00:08:00 Trust Models 00:05:00 Public Key Infrastructure 00:04:00 Certificate Types 00:14:00 Touring Certificates 00:09:00 Cryptographic Attacks 00:05:00 Password Cracking 00:10:00 Password Cracking Demo 00:06:00 Exam Question Review 00:02:00 SSH Public Key Authentication Lab 00:09:00 Ask Me Anything (AMA) 00:02:00 Section 04: Identity and Account Management Identification, Authentication, and Authorization 00:08:00 Enabling Multifactor Authentication 00:05:00 Authorization 00:05:00 Accounting 00:05:00 Authentication Methods 00:14:00 Access Control Schemes 00:07:00 Account Management 00:13:00 Network Authentication 00:09:00 Identity Management Systems 00:06:00 Exam Question Review 00:02:00 Creating LInux Users and Groups Lab 00:06:00 Ask Me Anything (AMA) 00:01:00 Section 05: Tools of the Trade Touring the CLI 00:16:00 Shells 00:06:00 The Windows Command Line 00:05:00 Microsoft PowerShell 00:13:00 Linux Shells 00:12:00 Python Scripts 00:06:00 Windows Command-Line Tools 00:16:00 Linux Command-Line Tools 00:10:00 Network Scanners 00:05:00 Network Scanning with Nmap 00:09:00 Network Protocol Analyzers 00:08:00 Using Wireshark to Analyze Network Traffic 00:09:00 Using tcpdump to Analyze Network Traffic 00:08:00 Log Files 00:09:00 Centralized Logging 00:09:00 Configuring Linux Log Forwarding 00:08:00 Exam Question Review 00:03:00 Lunux Shell Script Lab 00:07:00 Nmap Lab 00:05:00 Ask Me Anything (AMA) 00:02:00 Section 06: Securing Individual Systems Malware 00:14:00 Weak Configurations 00:12:00 Common Attacks 00:09:00 Driver and Overflow Attacks 00:08:00 Password Attacks 00:08:00 Bots and Botnets 00:06:00 Disk RAID Levels 00:10:00 Securing Hardware 00:11:00 Securing Endpoints 00:09:00 Exam Question Review 00:02:00 Linux Software RAID Lab 00:08:00 Ask Me Anything (AMA) 00:02:00 Section 07: The Basic LAN The OSI Model 00:13:00 ARP Cache Poisoning 00:09:00 Other Layer 2 Attacks 00:05:00 Network Planning 00:07:00 Load Balancing 00:06:00 Securing Network Access 00:06:00 Honeypots 00:06:00 Firewalls 00:08:00 Proxy Servers 00:06:00 Network and Port Address Translation 00:07:00 IP Security (IPsec) 00:09:00 Virtual Private Networks (VPNs) 00:10:00 Intrusion Detection and Prevention Systems (IDS/IPS) 00:13:00 Exam Question Review 00:03:00 Linux Snort IDS Lab 00:07:00 Ask Me Anything (AMA) 00:01:00 Section 08: Securing Wireless LANs Wi-Fi Encryption Standards 00:10:00 RFID, NFC, and Bluetooth 00:07:00 Wi-Fi Coverage and Performance 00:08:00 Wi-Fi Discovery and Attacks 00:12:00 Cracking WPA2 00:10:00 Wi-Fi Hardening 00:11:00 Exam Question Review 00:02:00 WPA2 Cracking Lab 00:06:00 Ask Me Anything (AMA) 00:01:00 Section 09: Securing Public Servers Defining a Public Server 00:01:00 Common Attacks and Mitigations 00:10:00 Containers and Software-Defined Networking 00:11:00 Hypervisors and Virtual Machines 00:08:00 Cloud Deployment Models 00:09:00 Cloud Service Models 00:08:00 Securing the Cloud 00:10:00 Exam Question Review 00:02:00 Docker Container Lab 00:04:00 Ask Me Anything (AMA) 00:02:00 Section 10: Securing Dedicated Systems Embedded Systems 00:13:00 Industrial Control System (ICS) 00:07:00 Internet of Things (IoT) Devices 00:10:00 Connecting to Dedicated and Mobile Systems 00:11:00 Security Constraints for Dedicated Systems 00:05:00 Mobile Device Deployment and Hardening 00:11:00 Exam Question Review 00:03:00 Smartphone Hardening Lab 00:03:00 Ask Me Anything (AMA) 00:02:00 Section 11: Physical Security Physical Security Overview 00:01:00 Physical Security 00:10:00 Keylogger Demo 00:05:00 Environmental Controls 00:05:00 Exam Question Review 00:02:00 Physical Security Lab 00:03:00 Ask Me Anything (AMA) 00:03:00 Section 12: Secure Protocols and Applications DNS Security 00:05:00 FTP Packet Capture 00:03:00 Secure Web and E-mail 00:12:00 Request Forgery Attacks 00:05:00 Cross-Site Scripting Attacks 00:07:00 Web Application Security 00:08:00 Web App Vulnerability Scanning 00:06:00 Exam Question Review 00:03:00 OWASP ZAP Web App Scan Lab 00:04:00 Ask Me Anything (AMA) 00:02:00 Section 13: Testing Infrastructure Testing Infrastructure Overview 00:05:00 Social Engineering 00:06:00 Social Engineering Attacks 00:11:00 Vulnerability Assessments 00:09:00 Penetration Testing 00:10:00 Security Assessment Tools 00:12:00 The Metasploit Framework 00:08:00 Exam Question Review 00:02:00 Hping3 Forged Packet Lab 00:06:00 Ask Me Anything (AMA) 00:02:00 Section 14: Dealing with Incidents Incident Response Overview 00:03:00 Incident Response Plans (IRPs) 00:06:00 Threat Analysis and Mitigating Actions 00:08:00 Digital Forensics 00:10:00 Gathering Digital Evidence 00:10:00 Business Continuity and Alternate Sites 00:06:00 Data Backup 00:10:00 Exam Question Review 00:01:00 Autopsy Forensic Browser Lab 00:05:00 Ask Me Anything (AMA) 00:02:00 Assignment Assignment - CompTIA Security+ 00:00:00

Embark on a transformative educational journey with our Focus Awards Level 3 Award in Supporting Teaching and Learning in Schools (RQF). This comprehensive program delves into the intricacies of education, providing you with essential tools to excel in educational environments. Gain a profound understanding of effective communication, school structures, child development, and safeguarding techniques. Enrol today to elevate your career prospects, expand your knowledge, and make a lasting impact in the realm of education. Guided Learning Hours Guided Learning Hours encompass any form of direct interaction, supervision, or support provided to learners by educators, tutors, trainers, or suitable education/training providers. For this qualification, the total Guided Learning Hours amount to 80 hours, highlighting the substantial role of structured guidance and assistance in the learning process. Total Qualification Time The Total Qualification Time (TQT) integrates guided learning hours and independent study, representing the overall commitment required. Each credit in the qualification equates to 10 hours of learning. This specific qualification entails a TQT of 120 hours. Method of Assessment Create a portfolio with evidence for each unit's learning outcomes. Self-declare work authenticity, verified by the assessor's countersignature. Complete internally assessed assignments per qualification requirements. Progression Upon successful completion of the qualification, learners can explore various pathways for advancement: Level 3 Certificate/Diploma in Supporting Teaching and Learning Level 4 Teaching Assistant Qualifications Teacher Training Programs (PGCE, SCITT, DET) Pursue Higher Education (e.g., bachelor's degree) Specialised Courses (e.g., SEN support) Leadership and Management in Education Continuing Professional Development (CPD) Advanced Studies (e.g., master's, doctoral degrees) Qualification Purpose The purpose of the Focus Awards Level 3 Award in Education and Training (RQF) Empower students with essential expertise for school support roles. Master knowledge and skills for effective teaching assistance. Enhance engagement in educational activities within schools. Who is this course for? Aspiring teaching assistants Individuals pursuing a career in education Parents interested in understanding child development School staff seeking professional development Requirements Enrolling in the Focus Awards Level 3 Award in Supporting Teaching and Learning (RQF) course is accessible and inclusive. No specific qualifications or prior experience are required, making it an excellent choice for individuals looking to enhance their skills in this field. This course welcomes participants aged 16 and above, offering an opportunity for a wide range of individuals to engage in and benefit from the program. Career path Teaching Assistant: £18,000 per year. Learning Support Assistant: £20,000 per year. Special Educational Needs (SEN) Assistant: £22,000 per year. Classroom Supervisor: £25,000 per year. Education Administrator: £24,000 per year Further Education Instructor: £30,000 or more per year Note: There is No Registration, Assessment, Certification fee included with this price.

Join our Microsoft Power BI Masterclass course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Microsoft Power BI Masterclass course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Microsoft Power BI Masterclass course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! You will Learn The Following Things: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Microsoft Power BI Masterclass. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-to-one support from a dedicated tutor throughout your course. Study online - whenever and wherever you want. Instant Digital/ PDF certificate 100% money back guarantee 12 months access Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement After completing the Microsoft Power BI Masterclass course, you will receive your CPD-accredited Digital/PDF Certificate for £5.99. To get the hardcopy certificate for £12.99, you must also pay the shipping charge of just £3.99 (UK) and £10.99 (International). Who Is This Course for? This Microsoft Power BI Masterclass is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements There is no prerequisite to enrol in this course. You don't need any educational qualification or experience to enrol in the Microsoft Power BI Masterclass course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Microsoft Power BI Masterclass Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Section 01: Introduction Welcome! 00:01:00 What is Power BI? 00:03:00 Download & Installing Power BI Desktop 00:04:00 Getting to know the interface 00:03:00 Mini Project: Transform Data 00:07:00 Mini Project: Visualize Data 00:05:00 Mini Project: Creating a Data Model 00:07:00 Course Outline: What will you learn in this course? 00:05:00 How to learn best with this course? 00:03:00 Section 02: Preparing our Project Creating our initial project file 00:04:00 Working with the attached project files 00:04:00 Section 03: Data Transformation - The Query Editor Exploring the Query Editor 00:06:00 Connecting to our data source 00:07:00 Editing rows 00:08:00 Changing data types 00:08:00 Replacing values 00:03:00 Close & Apply 00:03:00 Connecting to a csv file 00:03:00 Connecting to a web page 00:05:00 Extracting characters 00:06:00 Splitting & merging columns 00:09:00 Creating conditional columns 00:06:00 Creating columns from examples 00:09:00 Merging Queries 00:17:00 Pivoting & Unpivoting 00:06:00 Appending Queries 00:08:00 Practice & Solution: Population table 00:15:00 The Fact-Dimension-Model 00:09:00 Practice: Load the dimension table 00:04:00 Organizing our queries in groups 00:03:00 Entering data manually 00:05:00 Creating an index column 00:03:00 Workflow & more transformations 00:05:00 Module summary 00:05:00 Exercise 1 - Instruction 00:02:00 Exercise Solution 00:11:00 Section 04: Data Transformation - Advanced Advanced Editor - Best practices 00:09:00 Performance: References vs. Duplicating 00:10:00 Performance: Enable / Disable Load & Report Refresh 00:05:00 Group by 00:05:00 Mathematical Operations 00:05:00 Run R Script 00:15:00 Using Parameters to dynamically transform data 00:06:00 M formula language: Basics 00:07:00 M formula language: Values, Lists & Tables 00:14:00 M formula language: Functions 00:13:00 M formula language: More functions & steps 00:05:00 Exercise 2 - Instructions 00:01:00 Exercise 2 - solution 00:05:00 Section 05: Creating a Data Model Understanding the relationship 00:05:00 Create & edit relationships 00:06:00 One-to-many & one-to-one relationship 00:06:00 Many-to-many (m:n) relationship 00:08:00 Cross filter direction 00:06:00 Activate & deactivate relationships 00:06:00 Model summary 00:03:00 Exercise 3 Create Model 00:02:00 Exercise 3 Solution 00:02:00 Section 06: Data Visualization Our first visual 00:08:00 The format tab 00:12:00 Understanding tables 00:10:00 Conditional formatting 00:09:00 The Pie Chart 00:06:00 All about the filter visual 00:13:00 The filter pane for developers 00:09:00 Cross filtering & edit interactions 00:04:00 Syncing slicers across pages 00:07:00 Creating drill downs 00:08:00 Creating drill throughs 00:07:00 The tree map visual 00:07:00 The decomposition tree 00:05:00 Understanding the matrix visual 00:05:00 Editing pages 00:07:00 Buttons & Actions 00:09:00 Bookmarks to customize your report 00:10:00 Analytics and Forecasts with line charts 00:10:00 Working with custom visuals 00:07:00 Get data using R Script & R Script visual 00:08:00 Asking questions - Q&A visual 00:04:00 Wrap up - data visualization 00:08:00 Section 07: Power BI & Python Python in Power BI - Plan of attack 00:03:00 Setting up Python for Power BI 00:03:00 Transforming data using Python 00:11:00 Creating visualizations using Python 00:08:00 Violin plots, pair plots & ridge plots using Python 00:15:00 Machine learning (BayesTextAnalyzer) using Python 00:00:00 Performance & Troubleshooting 00:03:00 Section 08: Storytelling with Data Introduction 00:01:00 Show Empathy & Identify the Requirement 00:03:00 Finding the Most Suitable KPI's 00:02:00 Choose an Effective Visualization 00:04:00 Make Use of Natural Reading Pattern 00:03:00 Tell a Story Using Visual Cues 00:05:00 Avoid Chaos & Group Information 00:02:00 Warp Up - Storytelling with Data 00:02:00 Section 09: DAX - The Essentials Introduction 00:03:00 The project data 00:04:00 Measures vs. Calculated Columns 00:15:00 Automatically creating a date table in DAX 00:08:00 CALENDAR 00:05:00 Creating a complete date table with features 00:04:00 Creating key measure table 00:03:00 Aggregation functions 00:06:00 The different versions of COUNT 00:14:00 SUMX - Row based calculations 00:09:00 Section 10: DAX - The CALCULATE function CALCULATE - The basics 00:11:00 Changing the context with FILTER 00:07:00 ALL 00:08:00 ALL SELECTED 00:03:00 ALL EXCEPT 00:07:00 Section 11: Power BI Service - Power BI Cloud How to go on now? 00:03:00 Power BI Pro vs Premium & Signing up 00:04:00 Exploring the interface 00:04:00 Discovering your workspace 00:03:00 Connecting Power BI Desktop & Cloud 00:04:00 Understanding datasets & reports 00:03:00 Working on reports 00:04:00 Updating reports from Power BI Desktop 00:04:00 Creating and working with workspaces 00:07:00 Installing & using a data gateway 00:13:00 Get Quick Insights 00:03:00 Creating dashboards 00:04:00 Sharing our results through Apps 00:10:00 Power BI Mobile App 00:05:00 Creating the layout for the Mobile App 00:04:00 Wrap up - Power BI Cloud 00:07:00 Section 12: Row-Level Security Introduction 00:03:00 Creating a Row-Level Security 00:05:00 Row-Level Security in the Cloud 00:04:00 Row-Level Security & Data Model 00:05:00 Dynamic Row-Level Security 00:07:00 Dynamic Many-to-Many RLS 00:04:00 Hierarchical Row-Level Security 00:13:00 Section 13: More data sources JSON & REST API 00:10:00 Setting up a local MySQL database 00:14:00 Connecting to a MySQL database in Power BI 00:05:00 Connecting to a SQL database (PostgreSQL) 00:05:00 Section 14: Next steps to improve & stay up to date Congratulations & next steps 00:06:00 The End 00:01:00 Resources Resources - Microsoft Power BI Masterclass 00:00:00

Microsoft Office skills are in high demand across industries, and proficiency in Microsoft Word, Microsoft Excel, Microsoft PowerPoint, and Microsoft Office 365 opens up numerous career opportunities. In the UK, administrative roles, data analysis positions, office management, project coordination, and marketing support roles are just a few examples of job prospects. With average salaries ranging from £20,000 to £45,000 per year, individuals with comprehensive Microsoft Office skills can secure stable employment and contribute to the success of various organisations. Enrol in the Ultimate Microsoft Office Skills Training course today and equip yourself with the knowledge and expertise needed to thrive in the ever-evolving workplace. You Will Learn Following Things: Develop a solid foundation in Microsoft Office applications, including Word, Excel, PowerPoint, and Office 365. Acquire essential skills to efficiently navigate and manipulate data in Microsoft Excel, such as organising, sorting, filtering, and writing formulas. Gain proficiency in creating professional presentations in Microsoft PowerPoint, utilising features like multimedia, transitions, animations, and smart graphics. Master the art of document creation and formatting in Microsoft Word, including tables, styles, page layouts, envelopes, labels, and mail merges. Understand advanced features like pivot tables, charts, and data analysis tools in Microsoft Excel, enabling effective data visualisation and decision-making. This course covers everything you must know to stand against the tough competition. The future is truly yours to seize with this Mastering Microsoft Office: Word, Excel, PowerPoint, and 365. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-to-one support from a dedicated tutor throughout your course. Study online - whenever and wherever you want. Instant Digital/ PDF certificate 100% money back guarantee 12 months access This course covers everything you must know to stand against the tough competition. The future is truly yours to seize with this Mastering Microsoft Office: Word, Excel, PowerPoint, and 365. Enrol today and complete the course to achieve a certificate that can change your career forever. Process of Evaluation After studying the course, your skills and knowledge will be tested with an MCQ exam or assignment. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement After completing the Mastering Microsoft Office: Word, Excel, PowerPoint, and 365 course, you will receive your CPD-accredited Digital/PDF Certificate for £5.99. To get the hardcopy certificate for £12.99, you must also pay the shipping charge of just £3.99 (UK) and £10.99 (International). Who Is This Course for? This course is designed for individuals who want to enhance their Microsoft Office skills for personal or skilled purposes. Whether you are a student, an experienced entrepreneur, or anyone who regularly works with Microsoft Word, Excel, PowerPoint, and Office 365, this Microsoft Office skills course will provide you with a solid foundation and advanced techniques to maximise your productivity and efficiency. No prior experience is required, making it suitable for beginners and intermediate users looking to expand their knowledge and capabilities in the Microsoft Office suite. On the other hand, anyone who wants to establish their career as: like MS Office User Microsoft Office 2019 User Touch Typing Worker Audio Typist Can take this Ultimate Microsoft Office Skills Training (Word, Excel, PowerPoint, and 365) course. Requirements There is no prerequisite to enrol in this course. You don't need any educational qualification or experience to enrol in the Mastering Microsoft Office: Word, Excel, PowerPoint, and 365 course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career path Administrative Assistant - £20K to £30K/year Data Analyst - £25K to £45K/year Office Manager - £25K to £40K/year Project Coordinator - £25K to £35K/year Marketing Assistant - £20K to £30K/year Course Curriculum Section 01: Getting Started Introduction 00:03:00 Getting started on Windows, macOS, and Linux 00:01:00 How to ask great questions 00:01:00 FAQ's 00:01:00 Section 02: Excel 2021: Basics Excel Overview 00:05:00 Start Excel Spreadsheet 00:04:00 Enter Text and Numbers 00:07:00 Relative References 00:04:00 Working with ranges 00:07:00 Save and Save as Actions 00:08:00 File Extensions, Share, Export, and Publish files 00:06:00 Section 03: Excel 2021: Rows, Columns, and Cells Adding Rows and Columns 00:03:00 Modifying Rows and Column lengths 00:05:00 Section 04: Excel 2021: Data Handling Copy, Cut, and Paste 00:07:00 Copying Formulas 00:03:00 Section 05: Excel 2021: Page Setting Up and Print Page setup options 00:06:00 Fit to print on One Page 00:03:00 Print Workbooks 00:03:00 Section 06: Excel 2021: Sorting and Filtering Sorting Data Ascending Order 00:04:00 Sorting Data Descending Order 00:02:00 Filter Data 00:04:00 Section 07: Excel 2021: Writing Formulas Creating Basic Formulas 00:06:00 Datetime Formulas 00:06:00 Mathematical formulas phase1 00:20:00 Mathematical formulas phase2 00:12:00 Section 08: Excel 2021: Advanced Formulas VLOOKUP formula 00:12:00 HLOOKUP formula 00:04:00 Section 09: Excel 2021: XLOOKUP only for 2021 and Office 365 XLOOKUP 00:08:00 Handling #NA and Approximates match in XLOOKUP 00:11:00 Section 10: Excel 2021: Data and Tools Split Text into columns 00:07:00 Flash Fill 00:07:00 Data Validation 00:07:00 Remove Duplicates 00:08:00 Import Data from Text files 00:06:00 Import Data from .CSV files 00:03:00 Section 11: Excel 2021: Formatting data and tables Formatting Font 00:04:00 Formatting Alignment 00:06:00 Formatting Numbers 00:05:00 Formatting Date 00:03:00 Formatting Tables 00:05:00 Section 12: Excel 2021: Pivot Tables Pivot Tables 00:07:00 Pivot Charts 00:02:00 Section 13: Excel 2021: Charts Excel Charts - Categories 00:03:00 Elements of a chart 00:04:00 Creating Charts 00:02:00 Column or Bar charts 00:04:00 Formatting charts 00:04:00 Line Charts 00:02:00 Pie and Doughnut charts 00:04:00 Section 14: PowerPoint 2021: Course Introduction Overview 00:04:00 Start PowerPoint Presentation 00:05:00 Screen setting and Views 00:05:00 Section 15: PowerPoint 2021: Basics Presentation Tips and Guidelines 00:06:00 Creating a New Presentation 00:04:00 Working with Slides 00:04:00 Save a Presentation 00:04:00 Print Slides 00:03:00 Section 16: PowerPoint 2021: Text and Bullet Options Formatting Text 00:05:00 Slide Text Alignments 00:03:00 Multi-Column Text Alignments 00:02:00 Adding Bullets and Numbered List Items 00:03:00 Section 17: PowerPoint 2021: Adding Graphic Assets Insert Shapes 00:03:00 Insert Icons 00:03:00 Insert Graphics 00:04:00 Add 3D Models 00:03:00 Insert Pictures 00:03:00 Section 18: PowerPoint 2021: Picture Formatting Picture Options 00:04:00 Picture Cropping 00:03:00 Applying Built-in Picture Styles 00:04:00 Section 19: PowerPoint 2021: SmartArt Graphics Add SmartArt Graphic 00:03:00 Modifying SmartArt 00:03:00 Creating a Target Chart using SmartArt 00:03:00 Section 20: PowerPoint 2021: Working with Tables Create a Table on Slide 00:04:00 Formatting Tables 00:02:00 Inserting Tables 00:02:00 Table Layouts 00:01:00 Section 21: PowerPoint 2021: Working with Charts Add a Chart 00:02:00 Formatting Charts 00:02:00 Insert Chart from Microsoft Excel 00:03:00 Section 22: PowerPoint 2021: Adding Multimedia Adding Video to a Presentation 00:03:00 Adding Audio to a Presentation 00:02:00 Screen Recording and Adding 00:02:00 Section 23: PowerPoint 2021: Working with Transition Applying Transitions to Presentation 00:04:00 Section 24: PowerPoint 2021: Animation Object Animation 00:03:00 Effect Options 00:02:00 Advanced Animation 00:02:00 Triggers to control animation 00:02:00 Section 25: PowerPoint 2021: Slideshow Effects Onscreen Presentation 00:02:00 Hiding Slides 00:02:00 Changing Order of Slides 00:02:00 Copying Slides 00:02:00 Section 26: Word 2021: Introduction Overview of MS Word 00:04:00 Start MS Word 2021 00:05:00 Section 27: Word 2021: Basics Create a new blank document 00:04:00 Creating a paragraph text 00:05:00 Non-printing characters 00:03:00 Save a document 00:03:00 Open a document 00:01:00 Find and replace 00:04:00 Section 28: Word 2021: Word Formatting AutoCorrect options 00:03:00 Formatting text 00:04:00 Copy cut and paste 00:04:00 Character formatting 00:02:00 Format painter 00:04:00 Work with numbers 00:02:00 Add bullets 00:03:00 Outline creation 00:04:00 Section 29: Word 2021: Tables Creating a table 00:03:00 Adding rows and columns to a table 00:02:00 Formatting table data 00:02:00 Borders and shading 00:02:00 Sorting in a table 00:04:00 Draw a table 00:04:00 Convert text to table 00:03:00 Convert table to text 00:02:00 Insert a spreadsheet 00:02:00 Quick tables - readily available formats 00:02:00 Section 30: Word 2021: Styles Working with styles 00:02:00 Creating styles 00:02:00 Clear formatting 00:01:00 Section 31: Word 2021: Page Layout Margins 00:02:00 Orientation 00:01:00 Page size setting 00:01:00 Adding columns 00:03:00 Page break - section break 00:02:00 Adding watermark 00:03:00 Headers and footers 00:03:00 Section 32: Word 2021: Envelops and Lables Create envelops 00:02:00 Creating labels 00:02:00 Section 33: Word 2021: Mail Merges Creating a mail merge document 00:03:00 Section 34: Word 2021: Review and Printing Thesaurus and spell check 00:01:00 Word count 00:01:00 Speech - read aloud 00:01:00 Language - translate 00:01:00 Tracking 00:01:00

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Course Curriculum Course Introduction and Table of Contents Course Introduction and Table of Contents 00:11:00 Deep Learning Overview Deep Learning Overview - Theory Session - Part 1 00:06:00 Deep Learning Overview - Theory Session - Part 2 00:07:00 Choosing Between ML or DL for the next AI project - Quick Theory Session Choosing Between ML or DL for the next AI project - Quick Theory Session 00:09:00 Preparing Your Computer Preparing Your Computer - Part 1 00:07:00 Preparing Your Computer - Part 2 00:06:00 Python Basics Python Basics - Assignment 00:09:00 Python Basics - Flow Control 00:09:00 Python Basics - Functions 00:04:00 Python Basics - Data Structures 00:12:00 Theano Library Installation and Sample Program to Test Theano Library Installation and Sample Program to Test 00:11:00 TensorFlow library Installation and Sample Program to Test TensorFlow library Installation and Sample Program to Test 00:09:00 Keras Installation and Switching Theano and TensorFlow Backends Keras Installation and Switching Theano and TensorFlow Backends 00:10:00 Explaining Multi-Layer Perceptron Concepts Explaining Multi-Layer Perceptron Concepts 00:03:00 Explaining Neural Networks Steps and Terminology Explaining Neural Networks Steps and Terminology 00:10:00 First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset 00:07:00 Explaining Training and Evaluation Concepts Explaining Training and Evaluation Concepts 00:11:00 Pima Indian Model - Steps Explained Pima Indian Model - Steps Explained - Part 1 00:09:00 Pima Indian Model - Steps Explained - Part 2 00:07:00 Coding the Pima Indian Model Coding the Pima Indian Model - Part 1 00:11:00 Coding the Pima Indian Model - Part 2 00:09:00 Pima Indian Model - Performance Evaluation Pima Indian Model - Performance Evaluation - Automatic Verification 00:06:00 Pima Indian Model - Performance Evaluation - Manual Verification 00:08:00 Pima Indian Model - Performance Evaluation - k-fold Validation - Keras Pima Indian Model - Performance Evaluation - k-fold Validation - Keras 00:10:00 Pima Indian Model - Performance Evaluation - Hyper Parameters Pima Indian Model - Performance Evaluation - Hyper Parameters 00:12:00 Understanding Iris Flower Multi-Class Dataset Understanding Iris Flower Multi-Class Dataset 00:08:00 Developing the Iris Flower Multi-Class Model Developing the Iris Flower Multi-Class Model - Part 1 00:09:00 Developing the Iris Flower Multi-Class Model - Part 2 00:06:00 Developing the Iris Flower Multi-Class Model - Part 3 00:09:00 Understanding the Sonar Returns Dataset Understanding the Sonar Returns Dataset 00:07:00 Developing the Sonar Returns Model Developing the Sonar Returns Model 00:10:00 Sonar Performance Improvement - Data Preparation - Standardization Sonar Performance Improvement - Data Preparation - Standardization 00:15:00 Sonar Performance Improvement - Layer Tuning for Smaller Network Sonar Performance Improvement - Layer Tuning for Smaller Network 00:07:00 Sonar Performance Improvement - Layer Tuning for Larger Network Sonar Performance Improvement - Layer Tuning for Larger Network 00:06:00 Understanding the Boston Housing Regression Dataset Understanding the Boston Housing Regression Dataset 00:07:00 Developing the Boston Housing Baseline Model Developing the Boston Housing Baseline Model 00:08:00 Boston Performance Improvement by Standardization Boston Performance Improvement by Standardization 00:07:00 Boston Performance Improvement by Deeper Network Tuning Boston Performance Improvement by Deeper Network Tuning 00:05:00 Boston Performance Improvement by Wider Network Tuning Boston Performance Improvement by Wider Network Tuning 00:04:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 1 00:09:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 2 00:08:00 Save and Load Model as YAML File - Pima Indian Dataset Save and Load Model as YAML File - Pima Indian Dataset 00:05:00 Load and Predict using the Pima Indian Diabetes Model Load and Predict using the Pima Indian Diabetes Model 00:09:00 Load and Predict using the Iris Flower Multi-Class Model Load and Predict using the Iris Flower Multi-Class Model 00:08:00 Load and Predict using the Sonar Returns Model Load and Predict using the Sonar Returns Model 00:10:00 Load and Predict using the Boston Housing Regression Model Load and Predict using the Boston Housing Regression Model 00:08:00 An Introduction to Checkpointing An Introduction to Checkpointing 00:06:00 Checkpoint Neural Network Model Improvements Checkpoint Neural Network Model Improvements 00:10:00 Checkpoint Neural Network Best Model Checkpoint Neural Network Best Model 00:04:00 Loading the Saved Checkpoint Loading the Saved Checkpoint 00:05:00 Plotting Model Behavior History Plotting Model Behavior History - Introduction 00:06:00 Plotting Model Behavior History - Coding 00:08:00 Dropout Regularization - Visible Layer Dropout Regularization - Visible Layer - Part 1 00:11:00 Dropout Regularization - Visible Layer - Part 2 00:06:00 Dropout Regularization - Hidden Layer Dropout Regularization - Hidden Layer 00:06:00 Learning Rate Schedule using Ionosphere Dataset - Intro Learning Rate Schedule using Ionosphere Dataset 00:06:00 Time Based Learning Rate Schedule Time Based Learning Rate Schedule - Part 1 00:07:00 Time Based Learning Rate Schedule - Part 2 00:12:00 Drop Based Learning Rate Schedule Drop Based Learning Rate Schedule - Part 1 00:07:00 Drop Based Learning Rate Schedule - Part 2 00:08:00 Convolutional Neural Networks - Introduction Convolutional Neural Networks - Part 1 00:11:00 Convolutional Neural Networks - Part 2 00:06:00 MNIST Handwritten Digit Recognition Dataset Introduction to MNIST Handwritten Digit Recognition Dataset 00:06:00 Downloading and Testing MNIST Handwritten Digit Recognition Dataset 00:10:00 MNIST Multi-Layer Perceptron Model Development MNIST Multi-Layer Perceptron Model Development - Part 1 00:11:00 MNIST Multi-Layer Perceptron Model Development - Part 2 00:06:00 Convolutional Neural Network Model using MNIST Convolutional Neural Network Model using MNIST - Part 1 00:13:00 Convolutional Neural Network Model using MNIST - Part 2 00:12:00 Large CNN using MNIST Large CNN using MNIST 00:09:00 Load and Predict using the MNIST CNN Model Load and Predict using the MNIST CNN Model 00:14:00 Introduction to Image Augmentation using Keras Introduction to Image Augmentation using Keras 00:11:00 Augmentation using Sample Wise Standardization Augmentation using Sample Wise Standardization 00:10:00 Augmentation using Feature Wise Standardization & ZCA Whitening Augmentation using Feature Wise Standardization & ZCA Whitening 00:04:00 Augmentation using Rotation and Flipping Augmentation using Rotation and Flipping 00:04:00 Saving Augmentation Saving Augmentation 00:05:00 CIFAR-10 Object Recognition Dataset - Understanding and Loading CIFAR-10 Object Recognition Dataset - Understanding and Loading 00:12:00 Simple CNN using CIFAR-10 Dataset Simple CNN using CIFAR-10 Dataset - Part 1 00:09:00 Simple CNN using CIFAR-10 Dataset - Part 2 00:06:00 Simple CNN using CIFAR-10 Dataset - Part 3 00:08:00 Train and Save CIFAR-10 Model Train and Save CIFAR-10 Model 00:08:00 Load and Predict using CIFAR-10 CNN Model Load and Predict using CIFAR-10 CNN Model 00:16:00 RECOMENDED READINGS Recomended Readings 00:00:00

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