358 Courses

Microsoft Power BI Masterclass 2021 Course Overview: The "Microsoft Power BI Masterclass 2021" provides learners with the skills to become proficient in data analysis and visualization using Power BI. This comprehensive course covers the core functionalities of Power BI, from data preparation and transformation to creating impactful reports and dashboards. Learners will gain valuable insights into data modelling, visualisation, and the use of DAX for advanced calculations. By the end of the course, participants will be able to apply their knowledge to real-world projects, improving their ability to communicate data-driven insights effectively. This course is ideal for professionals and beginners who want to leverage Power BI to unlock the potential of their data. Course Description: This masterclass delves into the essential features of Microsoft Power BI, guiding learners through every stage of data analysis. Starting with project setup and data transformation in the Query Editor, the course progresses to advanced topics such as DAX functions and data storytelling. Learners will explore how to build data models, create dashboards, and employ Python in Power BI to enhance their reports. The course also covers Power BI Service for cloud-based analytics, row-level security for data protection, and integrating additional data sources. With a focus on empowering users to communicate insights clearly, the course ensures learners gain the expertise to manage data efficiently, make informed decisions, and stay up to date with evolving tools and features. Microsoft Power BI Masterclass 2021 Curriculum: Module 01: Introduction Module 02: Preparing our Project Module 03: Data Transformation - The Query Editor Module 04: Data Transformation - Advanced Module 05: Creating a Data Model Module 06: Data Visualization Module 07: Power BI & Python Module 08: Storytelling with Data Module 09: DAX - The Essentials Module 10: DAX - The CALCULATE function Module 11: Power BI Service - Power BI Cloud Module 12: Row-Level Security Module 13: More data sources Module 14: Next steps to improve & stay up to date (See full curriculum) Who is this course for? Individuals seeking to enhance their data analysis skills. Professionals aiming to advance their data visualization expertise. Beginners with an interest in data science or business analytics. Business analysts or data professionals looking to upskill in Power BI. Career Path: Data Analyst Business Intelligence Analyst Data Scientist Power BI Developer Reporting Analyst Data Visualisation Expert

Data Analysis: Data Analysis Training Have you ever wondered how companies get insights from massive volumes of data to stay competitive and make wise decisions? If so, then participate in our exclusive Data Analysis: Data Analysis Course. This Data Analysis Course describes the fundamentals of data, statistics, and an introduction to Data Analysis. How to get data and where to find it is explained in the Data Analysis Course. Moreover, this Data Analysis Course covers data cleansing, preprocessing, and exploratory data analysis (EDA). Additionally, the Data Analysis Course provides an introduction to Python and Excel for Data Analysis. This thorough Data Analysis Course includes lessons on data wrangling with Pandas (python) and data visualisation using Matplotlib and Seaborn (python). Enrol in our Data Analysis Course to study the fundamentals of statistical analysis and machine learning. Main Course: Data Analysis (Data Analytics) Training Free Courses included with Data Analysis: Data Analysis Training Course: Course 01: Minute Taking Course 02: GDPR Course 03: Cyber Security [ Note: Free PDF certificate as soon as completing the Data Analysis: Data Analysis Training Course] Data Analysis: Data Analysis Training Online This Data Analysis (Data Analytics) Training consists of 12 modules. Curriculum of Data Analysis (Data Analytics) Training Course Module 1: Introduction to Data Analytics Module 2: Basics of Data and Statistics Module 3: Data Collection and Sources Module 4: Data Cleaning and Preprocessing Module 5: Exploratory Data Analysis (EDA) Module 6: Introduction to Excel for Data Analytics Module 7: Introduction to Python for Data Analytics Module 8: Data Wrangling with Pandas (Python) Module 9: Data visualisation with Matplotlib and Seaborn (Python) Module 10: Introduction to Basic Statistical Analysis Module 11: Introduction to Machine Learning Module 12: Capstone Project - Exploratory Data Analysis Assessment Method of Data Analysis (Data Analytics) Training Course After completing Data Analysis: Data Analysis Training Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Apart from this, you do not need to sit for any other assessments. Certification of Data Analysis (Data Analytics) Training Course After completing the Data Analysis: Data Analysis Training Course, you can instantly download your certificate for FREE. The hard copy of the certification will also be delivered to your doorstep via post, which will cost £13.99. Who is this course for? Data Analysis: Data Analysis Training Online For business professionals, entrepreneurs, or anybody else looking to have a thorough grasp of data analysis in a commercial setting, this Data Analysis Course is ideal. Requirements Data Analysis: Data Analysis Training Online To enrol in this Data Analysis: Data Analysis Training Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Data Analysis Training Course. Be energetic and self-motivated to complete our Data Analysis Training Course. Basic computer Skill is required to complete our Data Analysis Training Course. If you want to enrol in our Data Analysis Training Course, you must be at least 15 years old. Career path Data Analysis: Data Analysis Training Online This Data Analysis Course will assist you in obtaining positions as a business analyst, marketing analyst, data analysis, and in related fields.

Data Analysis: Data Analysis Course Would you like to acquire the skills and self-assurance necessary to make wise choices and successfully traverse the intricate and ever-changing realm of data analysis? Enrol in our Data Analysis Course. The fundamentals of data, statistics, and an introduction to data analysis are all covered in this data analysis course. The how-to of data collection and its sources are explained in the Data Analysis Course. This Data Analysis Course teaches preprocessing, data cleansing, and exploratory data analysis (EDA). An overview of Excel and Python for data analysis is explained in this Data Analysis Course. This extensive Data Analysis course includes lessons on data wrangling with Pandas (Python) and data visualisation using Matplotlib and Seaborn (Python). So, quickly join our Data Analysis Course to learn the fundamentals of machine learning and statistical analysis! Special Offers with free gifts for this Data Analysis: Data Analysis Course This Data Analysis Course course includes a FREE PDF Certificate. Lifetime access to this Data Analysis Course course Instant access to this Data Analysis Course course Get FREE Tutor Support to this Data Analysis Course Course Learning Outcome of Data Analysis Course This Data Analysis Course will help you learn about: Introduction to data analysis, basics of data, and statistics. Data Analysis Course explains how to collect data and its sources. Data cleaning, processing, and exploratory data analysis (EDA) are included in this Data Analysis Course. This Data Analysis Course describes an introduction to Excel for Data Analysis and Python for Data Analysis. Data Wrangling with Pandas (Python) and Data Visualisation with Matplotlib and Seaborn (Python) are parts of this comprehensive Data Analysis Course. With the help of this Data Analysis Course, you will learn the basics of statistical analysis and machine learning. Data Analysis: Data Analysis Course Embark on a transformative journey with our Data Analysis course, designed for beginners. Dive deep into the world of data analysis, mastering essential techniques and tools. Gain practical skills in Data Analysis, empowering you to unlock insights and drive informed decisions. Start your Data Analysis journey today! Who is this course for? Data Analysis: Data Analysis Course Anyone looking to have a thorough grasp of data analysis in a commercial setting should take this Data Analysis: Data Analysis Course. Requirements Data Analysis: Data Analysis Course To enrol in this Data Analysis: Data Analysis Course, students must fulfil the following requirements. To join in our Data Analysis: Data Analysis Course, you must have a strong command of the English language. To successfully complete our Data Analysis: Data Analysis Course, you must be vivacious and self driven. To complete our Data Analysis: Data Analysis Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Data Analysis: Data Analysis Course. Career path Data Analysis: Data Analysis Course With the assistance of this Data Analysis Course, you can obtain work as a data analyst, business analyst, marketing analyst, or in related fields.

This course primarily focuses on explaining the concepts of Python and PySpark. It will help you enhance your data analysis skills using structured Spark DataFrames APIs.

Learn Web Development from Scratch Course Overview This comprehensive course offers a step-by-step journey through web development, starting from the very basics to advanced concepts. Learners will explore core technologies including HTML, CSS, JavaScript, and Python, gaining the skills necessary to build responsive, interactive websites and dynamic web applications. The course emphasises real-world applications, enabling learners to develop their own web projects and publish them online. By the end of the course, participants will confidently navigate the web development process, from setting up their environment to mastering coding principles and deploying live websites. This course is designed to equip individuals with both foundational knowledge and practical abilities that align with current industry standards, preparing them for career advancement or entry into the tech sector. Course Description This detailed web development course covers a broad spectrum of topics essential for anyone looking to build a solid foundation in creating websites and applications. Starting with environment setup, learners will delve deeply into HTML, progressing through beginner to expert levels, before moving on to CSS for styling and layout control. JavaScript modules provide an introduction to programming logic, data handling, and user interaction techniques, including error handling and client-side validations. The course also introduces Python fundamentals, focusing on its applications in web development and data science. Throughout the modules, learners will engage with structured coding tasks and projects designed to reinforce understanding and boost confidence. The final stages focus on publishing and managing live websites, ensuring learners complete the course ready to contribute effectively in web development roles. Learn Web Development from Scratch Curriculum Module 01: Getting Started Module 02: Setting up Development Environment Module 03: HTML Fundamentals Module 04: HTML Intermediate Module 05: HTML Advanced Module 06: HTML Expert Module 07: HTML Website Project Module 08: CSS Fundamentals Module 09: CSS Intermediate Module 10: CSS Advanced Module 11: CSS Expert Module 12: CSS Website Project Module 13: JavaScript Getting Started Module 14: JavaScript Fundamentals Module 15: JavaScript Strings Module 16: JavaScript Operators Module 17: JavaScript Conditional Statements Module 18: JavaScript Control Flow Statements Module 19: JavaScript Functions Module 20: Data Visualisation (Google Charts) Module 21: JavaScript Error Handling Module 22: JavaScript Client-Side Validations Module 23: Python Introduction Module 24: Python Basic Module 25: Python Strings Module 26: Python Operators Module 27: Python Data Structures Module 28: Python Conditional Statements Module 29: Python Control Flow Statements Module 30: Python Core Games Module 31: Python Functions Module 32: Python Args, KW Args for Data Science Module 33: Python Project Module 34: Publish Your Website for Live (See full curriculum) Who is this course for? Individuals seeking to start a career in web development. Professionals aiming to expand their technical skillset for career growth. Beginners with an interest in coding and digital technologies. Those wanting to build and manage their own websites or web applications. Career Path Junior Web Developer Front-End Developer Web Designer Full-Stack Developer Trainee Software Developer Assistant Digital Content Manager Data Visualisation Specialist

Learn tools to set workplace boundaries

If spreadsheets give you a headache, this course aims to offer aspirin—metaphorically, of course. The Microsoft Excel Mini Bundle brings clarity to cells, formulas, and functions while adding the human touch of communication and the logic of mathematics. Whether you’re new to data handling or trying to stop formatting rage-quits, this bundle helps you organise, calculate, and interpret with greater ease. From raw entry to meaningful analysis, you’ll gain the structured insight needed to keep rows aligned and heads cool. Learning Outcomes: Learn to use Microsoft Excel for tables, formulas and formatting. Understand data entry principles for structured and clean records. Apply mathematical reasoning to spreadsheets and data calculations. Explore data analysis basics using Excel tools and techniques. Improve communication around data sharing and reporting tasks. Recognise how Excel supports reporting, tracking, and scheduling duties. Who is this Course For: Admins needing Excel structure and clean spreadsheet management. Beginners seeking basic Excel, maths, and data entry knowledge. Office workers handling daily tasks involving spreadsheets. Team members preparing visual reports or internal data logs. Freelancers managing schedules, budgets, and lists via Excel. Analysts looking for a refresher in data visualisation tools. Project coordinators involved in record keeping and communication. Learners improving technical communication in business settings. Career Path: Data Entry Clerk – £22,000/year Junior Data Analyst – £26,000/year Excel Support Administrator – £24,000/year Reporting Assistant – £25,500/year Office Administrator (Excel Focus) – £23,500/year Communication and Data Coordinator – £27,000/year

If data had a fan club, analysts would be the VIP members. This 8-in-1 online bundle offers a structured dive into the data world—from input to insight. With modules in SQL, Python, Microsoft Access, Tableau, Google Analytics, and more, it covers the tools that analysts actually use when trying to make sense of endless spreadsheets. You’ll start with data entry foundations and move through analysis techniques, database management, and visualisation. The goal? To help you read, question, and communicate data without turning it into a maths lesson. Whether you’re new to analytics or brushing up on tools, this bundle is here to turn data into something slightly more interesting than... well, a spreadsheet. 🎯 Learning Outcomes: Understand core data analysis methods across common tools. Learn SQL for querying and managing structured data sets. Apply Python for basic data organisation and automation. Use Tableau and Google tools for visual data presentation. Gain data entry and database management understanding. Analyse online performance through Google Analytics platforms. 👤 Who is this Course For: Aspiring data analysts building core tool knowledge. Marketing professionals interested in online performance stats. Admins needing database and data entry foundations. Junior developers exploring data-related workstreams. Business analysts reviewing structured analysis methods. Freelancers handling data-heavy client tasks. Entrepreneurs reviewing user behaviour via Google tools. Graduates seeking online data training for job roles. 💼 Career Path (UK Average Salaries): Data Analyst – £38,000 per year Business Intelligence Analyst – £42,000 per year Data Entry Administrator – £24,000 per year SQL Analyst – £40,000 per year Marketing Data Analyst – £36,000 per year Analytics Coordinator – £34,000 per year

Learn how to create an automated trading bot using Python with this comprehensive course. Master Python basics, understand trading fundamentals, build and integrate the bot with a broker API, and run it effectively. Learning Outcomes: Gain proficiency in Python programming for trading purposes. Understand the fundamental concepts of trading and market dynamics. Build a structured trading bot using Python and Github version control. Integrate the bot with a broker API for real-time trading functionality. Successfully run and manage the automated trading bot for efficient execution. Why buy this Making Automated Trading Bot Using Python? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Making Automated Trading Bot Using Python 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? This Making Automated Trading Bot Using Python course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Making Automated Trading Bot Using Python does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Making Automated Trading Bot Using Python 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 As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Making Automated Trading Bot Using Python is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Section 01: Introduction About the course structure 00:05:00 Why working is important? 00:04:00 The free and perfect tools 00:07:00 Our editor: Atom 00:04:00 Version control: Github 00:07:00 Python download (Mac) 00:05:00 Python download (Windows) 00:02:00 Section 02: Python Basics for Trading Introduction 00:03:00 Python Libraries 00:05:00 Iterators: for 00:08:00 Iterators: while 00:08:00 Conditionals: if & else 00:10:00 Logic gates: and & or 00:09:00 Error handling: try & except 00:09:00 Functions and calls to libraries 00:13:00 Objects and classes (1) 00:10:00 Objects and classes (2) 00:07:00 Debugging the code 00:12:00 Closing and wrap up 00:01:00 Section 03: Trading Basics Introduction 00:03:00 Fundamental vs Technical Analysis 00:04:00 Stocks vs CFDs 00:05:00 Long and Short positions 00:04:00 Takeprofit and Stoploss 00:03:00 Setting a real Stoploss 00:08:00 Limit and Market orders 00:10:00 Don't forget the spread 00:04:00 Stock data visualisation: candles 00:08:00 Technical Indicators: about 00:05:00 Exponential Moving Average 00:08:00 EMA use and interpretation 00:06:00 Relative Strength Index 00:07:00 Stochastic Oscillator 00:09:00 Closing and wrap up 00:01:00 Section 04: Bot Code General Structure Introduction 00:02:00 Overview 00:08:00 The Entry Strategy 00:10:00 About Tradingview 00:12:00 When to enter (1) 00:08:00 When to enter (2) 00:08:00 Open and hold a position 00:12:00 Closing a position 00:08:00 Review (1) 00:06:00 Review (2) 00:13:00 Closing 00:02:00 Section 05: Github Basics Introduction 00:04:00 Download and install Github 00:01:00 Create a repo 00:10:00 Working with branches 00:13:00 Section 06: Building Your Bot Introduction 00:05:00 Create the first bot file 00:07:00 Building the bot scheme 00:08:00 Complete your code scheme (1) 00:11:00 Complete your code scheme (2) 00:11:00 Complete your code scheme (3) 00:18:00 A logger to remember (1) 00:14:00 A logger to remember (2) 00:14:00 Organising your code 00:07:00 Main function: run bot 00:23:00 Link the bot and the library 00:08:00 Traderlib control functions (1) 00:12:00 Traderlib control functions (2) 00:13:00 Check if tradable function 00:06:00 Set stoploss function 00:10:00 Set takeprofit function 00:04:00 Load historical data function 00:01:00 Get open positions function 00:04:00 Submit and cancel order functions 00:04:00 Check positions function 00:09:00 The Tulipy libraries 00:07:00 Importing all the libraries 00:03:00 First filter: get general trend 00:19:00 Second filter: get instant trend 00:14:00 Third filter: RSI 00:08:00 Fourth filter: Stochastic Oscillator 00:14:00 Enter position (1) 00:13:00 Enter position (2) 00:11:00 Enter position (3) 00:15:00 Enter position (4) 00:08:00 Last check before opening 00:13:00 Exit position and get out 00:10:00 Linking everything (1) 00:12:00 Linking everything (2) 00:12:00 Linking everything (3) 00:15:00 Fixing a mistake: going Short 00:05:00 Handling all your variables 00:18:00 Closing and wrap up 00:01:00 Run function scheme clarification and rebuild 00:13:00 Section 07: Integrating the Broker API Introduction 00:03:00 The Alpaca Python API Wrapper 00:07:00 Initialising the REST API 00:09:00 Running the program (crash!) 00:06:00 Integration with check account (1) 00:08:00 Integration with check account (2) 00:05:00 Clean open orders function 00:10:00 Importing the trading library 00:04:00 Running the main 00:05:00 Check position function 00:09:00 Check if asset exists function 00:08:00 Fetching barset data (theory) 00:07:00 Fetching barset data (practice) 00:12:00 Updating the code for the Alpaca API V2 (explanation) 00:03:00 Updating the code for the Alpaca API V2 (implementation) 00:08:00 Organizing data with Pandas 00:06:00 Get general trend function (1) 00:08:00 Reframing the timeframe with Pandas 00:23:00 Get general trend function (2) 00:13:00 Get instant trend function 00:08:00 Get RSI function 00:06:00 Get Stochastic function 00:10:00 Get current price function 00:05:00 Finishing get shares amount 00:09:00 Opening a position (1) 00:12:00 Opening a position (2) 00:09:00 Check the open position 00:07:00 Cancelling the order (1) 00:20:00 Cancelling the order (2) 00:08:00 Making sure we cancelled 00:03:00 Get average entry price function 00:10:00 Fixing bugs when getting price 00:18:00 Check Stochastic crossing 00:02:00 Holding an open position 00:11:00 Submitting the exit order 00:08:00 Closing position and out (1) 00:08:00 Closing position and out (2) 00:10:00 Closing and wrap up 00:01:00 Section 08: Running the Trading Bot Introduction 00:03:00 Filtering asset by price and volume 00:07:00 Get the bot ready to trade 00:04:00 Running the Trading Bot with AAPL 00:09:00 A real open position 00:08:00 Debugging and bug fixing 00:12:00 Fixing one (last) bug 00:02:00 Running the bot with TSLA 00:10:00 Discussing EMA implementations 00:12:00 Closing and wrap up 00:02:00

Confused by self assessment or VAT? Learn to handle tax returns, accounting, and reports online with this detailed training bundle. 🔹 Overview: The Self Assessment Tax Return Mini Bundle takes a focused look at the structure and reporting involved in personal tax declarations. You’ll study the principles behind tax returns, VAT rules, and how to organise everything through accounting and data visualisation software—without ever printing another spreadsheet. The courses in this bundle are built for individuals who want to make sense of numbers and deadlines, with added emphasis on financial analysis and digital reporting. From VAT calculation to Power BI charts that actually make sense, this bundle aims to turn tax confusion into organised clarity—one module at a time. 🔹 Learning Outcomes: Understand how to complete a self assessment tax return Analyse VAT data for personal and freelance tax planning Use Power BI to generate useful financial tax dashboards Apply accounting methods to individual tax records Gain financial insights through structured data interpretation Explore UK tax structure from income to VAT components 🔹 Who is this Course For: Individuals required to submit a self assessment each year Freelancers dealing with VAT and income tax submissions New accountants interested in personal tax reporting Business owners learning about tax return obligations Students studying tax reporting, VAT and analytics Budget-conscious individuals aiming to reduce tax errors Data-savvy users learning Power BI for tax analysis People managing their finances independently with structure 🔹 Career Path: VAT Analyst – £28,000–£36,000 per year Self Assessment Support Advisor – £24,000–£32,000 per year Finance Officer (Tax Focus) – £30,000–£40,000 per year Tax and VAT Assistant – £25,000–£34,000 per year BI Reporting Analyst (Finance) – £32,000–£45,000 per year Accounting Associate – £23,000–£30,000 per year