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Are you embarking on the journey of mastering data analytics and visualisation in the UK? The 'Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7' is your beacon. Positioned to illuminate the intricate realm of Power BI, this course offers a comprehensive look into the foundational aspects and the advanced features that make Microsoft's tool a standout. With sections meticulously designed ranging from the fundamentals, like data transformation, to advanced concepts, such as integrating Power BI with Python and storytelling with data, this course ensures learners grasp the complete spectrum. With the rising emphasis on data analytics in today's business world, this course acquaints you with Power BI's prowess. It prepares you for the sought-after Microsoft Power BI certification in the UK. Learning Outcomes Comprehend the fundamental aspects of Power BI, from initiating a project to understanding the user interface. Develop proficiency in advanced data transformation techniques and data model creation. Integrate Python with Power BI and harness the benefits of both for enhanced data analytics. Master the art of 'Storytelling with Data' to deliver impactful presentations and reports. Understand and implement Row-Level Security and harness Power BI Cloud services efficiently. Why choose this Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7? 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 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 Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 for? Individuals keen on obtaining the Microsoft power bi certification UK. Analysts and data professionals aspiring to enhance their data visualisation skills. Business professionals wanting to leverage Power BI for insightful business decision-making. Tech enthusiasts aiming to amalgamate programming (Python) with data analytics. Those seeking to stay updated with the latest trends in Power BI and its evolving capabilities. Career path Data Analyst: Average Salary £30,000 - £40,000 Annually Business Intelligence Developer: Average Salary £35,000 - £45,000 Annually Power BI Developer: Average Salary £40,000 - £50,000 Annually Data Visualisation Specialist: Average Salary £32,000 - £42,000 Annually Business Intelligence Manager: Average Salary £45,000 - £55,000 Annually Data Strategy Consultant: Average Salary £50,000 - £60,000 Annually Prerequisites This Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course 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 £135 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 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 00:03:00 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 - Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 00:00:00 Assignment Assignment - Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 04:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

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

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

Level 2 Teaching Assistant Would you like to obtain foundational training to help teachers in educational settings? Our level 2 teaching assistant course will cover all relevant topics in this sector. This level 2 teaching assistant course covers classroom management, child development, safety, and support for learning activities. Participants in this level 2 teaching assistant course will learn how to effectively engage students, provide personalised help, and contribute to the overall learning environment. In addition, the level 2 teaching assistant course provides classroom observation skills and aids in lesson planning. Graduates of the level 2 teaching assistant course will have the necessary skills and competence to assist instructors in delivering lessons and supporting student achievement. This level 2 teaching assistant training can help you create a safe and inclusive learning environment. Enrol in this level 2 teaching assistant course because it is a great starting point for those wishing to work in education support. Special Offers of this Teaching Assistant: Teaching Assistant Course This Teaching Assistant: Teaching Assistant Course includes a FREE PDF Certificate Lifetime access to this Teaching Assistant: Teaching Assistant Course Instant access to this Teaching Assistant: Teaching Assistant Course Get FREE Tutor Support to this Teaching Assistant: Teaching Assistant Course Level 2 Teaching Assistant Advance your career with our Level 2 Teaching Assistant Course! In a nutshell, master Teaching Assistant tactics and you'll be an excellent contributor. Our Level 2 Teaching Assistant Course prepares you for success as a Teaching Assistant. Secure your Level 2 Teaching Assistant Course slot today and start the job you've always wanted! Who is this course for? Level 2 Teaching Assistant Anyone interested in learning more about this topic is welcome to enrol in the Teaching Assistant: Teaching Assistant Course. You will be able to understand the core concepts and information with the help of this course. Requirements Level 2 Teaching Assistant To enrol in this Level 2 Teaching Assistant Course, students must fulfil the following requirements. To join in our Teaching Assistant Course, you must have a strong command of the English language. To successfully complete our Teaching Assistant Course, you must be vivacious and self driven. To complete our Teaching Assistant Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Teaching Assistant Course. Career path Level 2 Teaching Assistant After completing this Level 2 Teaching Assistant course, you can look into popular and in-demand occupations in the Teaching Assistant: Teaching Assistant field.

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Our courses have been designed by experienced teachers to make getting TEFL qualified as convenient as possible. These online courses are entirely self-paced, meaning you can fit study around your life in a way that works best for you. Throughout the course, you will have the support of your own personal tutor who is with you from beginning to end to mark your work, provide helpful feedback, and answer all your questions. 120-hour Premier Online TEFL Course: 50-hour Online TEFL Course Learn about classroom management, teaching styles and advanced TEFL methodology. Includes units on business English, young learners, and teaching English one-to-one. Study with a personal tutor and meet fellow students on our course forums. 30-hour Online Grammar Course Do not know your irregular verbs from auxiliary verbs? 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Internationally recognised TEFL certificate – hard copy & PDF A widely-recognised certificate posted straight to your door which shows your achievements on our course, something you can show to TEFL employers to secure you a job. Personal online TEFL tutor Work through your course with the help of an experienced and qualified TEFL tutor. Throughout the course, you’ll have the same tutor, so you have one point of contact for advice and assistance. Online TEFL Class breakdown Lesson Planning Teaching English Vocabulary Teaching Pronunciation Understanding English Grammar Teaching Receptive Skills: Listening and Reading Teaching Productive Skills: Speaking and Writing Teaching English Grammar Principles of Teaching English as a Foreign Language Materials and Aids for Teaching English/Classroom Management Strategies Using Resources Effectively when Teaching English as a Foreign Language Case Study, CV and Cover Letter, Job Sites and Resources You will explore the latest theories in topics such as second language acquisition and social discourse and have the chance to apply these to your own classroom practice and curriculum development. You will also learn to conduct your own research, compile and analyse qualitative and quantitative data and develop your critical-evaluative skills. These skills will be used on your own research project at the end of the course, as well as in your future career. Core modules: Second Language Acquisition You will focus on the major themes that have emerged from literature on second language learning over the last three decades. You will examine some of the research on the second-language acquisition process, look critically at reports of second-language research, and examine some of the theories which endeavour to interpret research evidence. You will be encouraged to use your own language learning and teaching experience to assess the relative merits of such materials. Discourse in Society You will examine the relationship between language and society and the construction of discourse in various domains. You will explore sociological and sociolinguistic models and theories, such as speech communities, communities of practice and ethnolinguistic vitality, with a particular focus on social variation and stratification across various linguistic levels (phonology, lexicon, syntax). You will explore discourse's notion (or notions) in both its linguistic and wider meaning and its construction in and through society and language use. You will study methods for collecting and transcribing data and discover various linguistic and discourse analysis approaches. These methods and approaches will then be put into context and used in the analysis of the relevant social spheres and domains, such as educational or institutional discourse. Research Methods in Applied Linguistics This module will provide you with an introduction to research methods in preparation for the MA dissertation. It will familiarise you with the basic processes of conducting research, including general methodological approaches as well as research ethics. You will analyse and discuss both qualitative and quantitative data in order to develop your critical-evaluative skills. Materials and Course Design You will explore the factors involved in the design of language courses and teaching materials, reflecting on one possible course design process. You will start with an analysis of the context in which the course will take place, the needs of the learners, and current theories of language and language learning. You will move on to consider how course content can be selected and ordered in a principled way, how assessment relates to course design, and how and when courses should be evaluated. Finally, you will consider the evaluation, adaptation, and creation of course materials. Classroom Theory and Practice You will examine current research on modern classroom operations, exploring key concepts and issues through relevant professional and academic literature. A more practical element will be realised through filmed observation of teachers in practice. You will also be encouraged to reflect on your teaching and learning experience and analyse and discuss your beliefs and attitudes towards learning and teaching. Major Project This module will support you in the preparation and submission of a master’s dissertation, allowing you to explore in-depth a particular topic that reflects your academic interest. Assessment You will show your understanding of theoretical issues and their practical application through a combination of portfolios, classroom observation tasks and critical essays. After completing your final module, you will also research and prepare a 15,000-word dissertation.

Level 1 Teaching Assistant The Level 1 Teaching Assistant course is the perfect starting point for anyone looking to begin a career as a Teaching Assistant. This comprehensive Teaching Assistant course provides you with the foundational skills needed to support students and teachers in a classroom environment. You’ll learn key Teaching Assistant responsibilities, including classroom management, student support, and communication. Whether you’re new to the field or looking to formalize your skills, this Teaching Assistant course is designed to help you succeed. Enroll now in the Level 1 Teaching Assistant course and start your journey to becoming a confident and capable Teaching Assistant! This course is an essential foundation for anyone aspiring to become a Teaching Assistant. This Teaching Assistant course covers the basics of classroom support, child development, and effective communication skills. As a Teaching Assistant, you’ll play a key role in helping students thrive academically and socially. The Teaching Assistant course prepares you to work alongside teachers, ensuring a positive and productive learning environment. With this Teaching Assistant qualification, you’ll be equipped to make a meaningful impact. Start your career as a Teaching Assistant today by enrolling in our comprehensive Level 1 Teaching Assistant course! Special Offers of this Teaching Assistant Course This Teaching Assistant: Teaching Assistant Course includes a FREE PDF Certificate Lifetime access to this Teaching Assistant: Teaching Assistant Course Instant access to this Teaching Assistant: Teaching Assistant Course Get FREE Tutor Support to this Teaching Assistant: Teaching Assistant Course Level 1 Teaching Assistant Our Level 1 Teaching Assistant course is perfect for anyone looking to start a career as a Teaching Assistant. This Teaching Assistant course provides a solid foundation in the skills needed to support teachers and students in a classroom environment. By enrolling in this Teaching Assistant program, you’ll gain knowledge of child development, behavior management, and how to assist with lesson planning. A Teaching Assistant plays a crucial role in enhancing the learning experience, and this Teaching Assistant course will equip you with the tools to succeed. Become a skilled Teaching Assistant and make a real difference today! Who is this course for? Level 1 Teaching Assistant For individuals who are interested in or currently working in this field, the Level 1 Teaching Assistant course is highly recommended. Requirements Level 1 Teaching Assistant To enrol in this Level 1 Teaching Assistant Course, students must fulfil the following requirements. To join in our Teaching Assistant Course, you must have a strong command of the English language. To successfully complete our Teaching Assistant Course, you must be vivacious and self driven. To complete our Teaching Assistant Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Teaching Assistant Course. Career path Level 1 Teaching Assistant After finishing this Level 1 Teaching Assistant course, you can investigate well-liked and in-demand professions in the Teaching Assistant industry.

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HLTA - Higher Level Teaching Assistants Would you like to prepare to take on a higher level of responsibility in supporting the teaching environment? Our HLTA - Higher Level Teaching Assistants course can help you do this. The HLTA - Higher Level Teaching Assistants course covers topics such as educational theories and principles. With this HLTA - Higher Level Teaching Assistants course, you can learn about curriculum development and behaviour management strategies. The HLTA - Higher Level Teaching Assistants course explains differentiation techniques, assessment, and feedback methods. Moreover, the HLTA - Higher Level Teaching Assistants course teaches special educational needs (SEN) support. HLTA - Higher Level Teaching Assistants often include practical elements such as observing experienced teachers, leading small group activities, and planning and delivering lessons under supervision. Enrol in our HLTA - Higher Level Teaching Assistants course to assist teachers in planning, implementing, and evaluating learning activities. Learning outcome of HLTA - Higher Level Teaching Assistants This HLTA - Higher Level Teaching Assistants course will teach: HLTA - Higher Level Teaching Assistants role and responsibilities. Child development and welfare are also part of this HLTA - Higher Level Teaching Assistants course. The HLTA - Higher Level Teaching Assistants course explains awareness of Special Educational Needs. Moreover, the HLTA - Higher Level Teaching Assistants course promotes children and young people’s positive behaviour. You can provide support for individual learners and small groups after completing this HLTA - Higher Level Teaching Assistants course. The HLTA - Higher Level Teaching Assistants course develops skills to promote positive working relationships. After finishing the HLTA - Higher Level Teaching Assistants course, you can do curriculum planning, delivery, and assessment properly. Special Offers of this HLTA - Higher Level Teaching Assistants Course This HLTA - Higher Level Teaching Assistants Course includes a FREE PDF Certificate Lifetime access to this HLTA - Higher Level Teaching Assistants Course Instant access to this HLTA - Higher Level Teaching Assistants Course Get FREE Tutor Support to this HLTA - Higher Level Teaching Assistants Course HLTA - Higher Level Teaching Assistants Unlock your potential in education with our HLTA - Higher Level Teaching Assistants course, designed to provide a solid foundation in educational theories and principles. This HLTA - Higher Level Teaching Assistants course offers in-depth knowledge on curriculum development and behaviour management strategies, equipping you to create an effective learning environment. Gain expertise in differentiation techniques, assessment, and feedback methods through the HLTA - Higher Level Teaching Assistants program. Special educational needs (SEN) support is also a core focus of the HLTA - Higher Level Teaching Assistants course. Get hands-on experience with lesson planning, small group activities, and classroom management. Who is this course for? HLTA - Higher Level Teaching Assistants This HLTA - Higher Level Teaching Assistants course is open to all students. Requirements HLTA - Higher Level Teaching Assistants To enrol in this EHLTA - Higher Level Teaching Assistants Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our HLTA - Higher Level Teaching Assistants Course. Be energetic and self-motivated to complete our HLTA - Higher Level Teaching Assistants Course. Basic computer Skill is required to complete our HLTA - Higher Level Teaching Assistants Course. If you want to enrol in our HLTA - Higher Level Teaching Assistants Course, you must be at least 15 years old. Career path HLTA - Higher Level Teaching Assistants The HLTA - Higher Level Teaching Assistants Programme provides a special chance to develop important skills and further your professional development.

Advance Your Career with Our Level 4 Teaching Assistant Course Are you ready to enhance your role in education? Our Level 4 Teaching Assistant: Level 4 Teaching Assistant course is your pathway to greater responsibility and impact in the classroom. As a Level 4 Teaching Assistant, you’ll develop advanced skills in supporting both students and teachers, positioning yourself as an essential member of the educational team. With our Level 4 Teaching Assistant: Level 4 Teaching Assistant course, you'll master techniques in classroom management, lesson delivery, and individualized student support. This Level 4 Teaching Assistant: Level 4 Teaching Assistant qualification is designed to empower you with the knowledge and confidence needed to lead small groups, assist in curriculum planning, and contribute to the overall learning environment. Enrolling in the Level 4 Teaching Assistant program means you’ll receive expert guidance, ensuring you’re fully equipped to excel in your role. The Level 4 Teaching Assistant: Level 4 Teaching Assistant course is tailored to fit your schedule, offering flexible learning options that allow you to balance your career and studies. By completing the Level 4 Teaching Assistant course, you’ll open doors to new career opportunities, whether you aim to specialize in areas like Special Educational Needs or move into senior teaching assistant roles. Becoming a Level 4 Teaching Assistant is your step towards a more rewarding and impactful career in education. Take the next step—enroll in the Level 4 Teaching Assistant: Level 4 Teaching Assistant course today and transform your future in education! Special Offers of this Level 4 Teaching Assistant: Level 4 Teaching Assistant Course: This Level 4 Teaching Assistant: Level 4 Teaching Assistant Course includes a FREE PDF Certificate. Lifetime access to this Level 4 Teaching Assistant: Level 4 Teaching Assistant Course Instant access to this Level 4 Teaching Assistant: Level 4 Teaching Assistant Course 24/7 Support Available to this Level 4 Teaching Assistant: Level 4 Teaching Assistant Course [ Note: Free PDF certificate as soon as completing the Level 4 Teaching Assistant: Level 4 Teaching Assistant Course] Level 4 Teaching Assistant: Level 4 Teaching Assistant Online Training The Level 4 Teaching Assistant: Level 4 Teaching Assistant course is designed to elevate your role in education by providing advanced skills and knowledge. As a Level 4 Teaching Assistant, you'll gain expertise in classroom management, student support, and lesson planning. This Level 4 Teaching Assistant: Level 4 Teaching Assistant course prepares you for leadership roles and specialized responsibilities, making you a more integral part of the educational team. Ideal for career advancement, the Level 4 Teaching Assistant: Level 4 Teaching Assistant course empowers you to make a significant impact in the classroom. Who is this course for? Level 4 Teaching Assistant: Level 4 Teaching Assistant Online Training This Level 4 Teaching Assistant: Level 4 Teaching Assistant course is for experienced teaching assistants who are eager to advance their careers and take on more significant roles in the classroom. It's perfect for those who want to deepen their expertise, move into leadership positions, or specialize in areas like Special Educational Needs (SEN). Whether you’re currently in a teaching assistant role or looking to enhance your qualifications, this Level 4 Teaching Assistant: Level 4 Teaching Assistant course is designed to help you make a greater impact in education. Requirements Level 4 Teaching Assistant: Level 4 Teaching Assistant Online Training To enrol in this Level 4 Teaching Assistant: Level 4 Teaching Assistant Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Level 4 Teaching Assistant Course. Be energetic and self-motivated to complete our Level 4 Teaching Assistant Course. Basic computer Skill is required to complete our Level 4 Teaching Assistant Course. If you want to enrol in our Level 4 Teaching Assistant Course, you must be at least 15 years old. Career path Level 4 Teaching Assistant: Level 4 Teaching Assistant Online Training After completing this Level 4 Teaching Assistant: Level 4 Teaching Assistant course, you can investigate well-liked and in-demand professions in the Level 4 Teaching Assistant industry such as: Senior Teaching Assistant Higher Level Teaching Assistant (HLTA) Specialized Support Roles Education Leadership