329 Courses in Nottingham delivered Online

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

Data Analysis (Beginner): Data Analysis Course Online Are you trying to get the knowledge and abilities required to excel in data analysis at the beginner level? Our Data Analysis Course (Beginner) could be your perfect option for this. The Data Analysis Course (Beginner) offers comprehensive training in data analysis methodologies and tools. The Data Analysis Course (Beginner) covers topics such as data cleaning, visualisation, and statistical analysis. Also, the Data Analysis Course (Beginner) teaches programming in Python or R. Moreover, the Data Analysis Course (Beginner) equips students with essential skills for deriving insights from data. This Data Analysis Course (Beginner) explains data manipulation and interpretation. Enrol in our Data Analysis Course (Beginner) to prepare them for careers in data analysis across various industries. Main Course: Data Analytics Course (Beginner) [ Note: Free PDF certificate as soon as completing the Data Analysis (Beginner): Data Analysis Course] Data Analysis (Beginner): Data Analysis Course This Data Analysis (Beginner): Data Analysis Training Course consists of 12 modules. Who is this course for? Data Analysis (Beginner): Data Analysis Course This Data Analysis (Beginner): Data Analysis Course is recommended for anyone looking to advance in their data analysis career. Requirements Data Analysis (Beginner): Data Analysis Course To enrol in this Data Analysis (Beginner): Data Analysis Course, students must fulfil the following requirements: Data Analysis: Good Command over English language is mandatory to enrol in our Data Analysis Course. Data Analysis: Be energetic and self-motivated to complete our Data Analysis Course. Data Analysis: Basic computer Skill is required to complete our Data Analysis Course. Data Analysis: If you want to enrol in our Data Analysis Course, you must be at least 15 years old. Career path Data Analysis (Beginner): Data Analysis Course The Data Analysis (Beginner): Data Analysis Course opens up a wide range of work prospects, especially in the UK labour market.

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

Level 7 QLS Endorsed Diploma | 180 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

Level 7 QLS Endorsed Diploma | 180 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

Goal Setting, Motivation, and Resilience for Life Course Overview: "Goal Setting, Motivation, and Resilience for Life" equips learners with the essential tools to master personal development. This course delves into the principles of goal setting, mental toughness, and resilience, offering practical strategies for overcoming challenges and achieving success. Learners will gain a deeper understanding of how motivation works and how to use it effectively in their daily lives. Upon completion, participants will have the skills to remain resilient in the face of adversity, set and accomplish meaningful goals, and develop a positive mindset that supports long-term success. Course Description: This course covers the science of mental toughness and the power of resilience, providing learners with the framework to build mental strength and navigate life’s challenges. Topics include positive thinking, visualisation techniques, building a resilient mindset, and managing stress effectively. Learners will also explore the role of goal setting in success and how to achieve personal growth. By studying the strategies behind mental fitness, learners will develop an expert understanding of how to cultivate long-lasting motivation. Ultimately, this course empowers learners to create and achieve their personal and professional goals while fostering a positive, resilient mindset. Goal Setting, Motivation, and Resilience for Life Curriculum: Module 01: Introduction Module 02: Science of Mental Toughness Module 03: Positive Thinking and Visualization Module 04: Building a Resilient Mindset Module 05: Surviving and Thriving with Stress Module 06: Goal Setting and Developing Expertise Module 07: Solving the Happiness Equation Module 08: Implementing Mental Fitness (See full curriculum) Who is this course for? Individuals seeking to improve personal resilience. Professionals aiming to develop better goal-setting strategies. Beginners with an interest in self-improvement and mental toughness. Anyone looking to build a more positive mindset for personal and career growth. Career Path: Personal development coach Motivational speaker Human resources consultant Well-being programme manager Corporate trainer Stress management consultant Life coach

Course Overview The "Microsoft Excel Complete Course" is designed to equip learners with the essential skills to master Microsoft Excel, one of the most widely used tools in data analysis and business operations. This course covers a comprehensive range of topics, including Excel's new features, formula creation, data visualisation, and workbook management. It offers practical knowledge that will help learners work more efficiently, whether they are managing large datasets, analysing trends, or presenting information. By the end of this course, learners will be confident in using Excel for various business tasks, gaining a strong foundation for further professional development. Course Description This course covers all key aspects of Microsoft Excel, from the basics to advanced techniques. Learners will explore Excel’s new features in the 2019 version, as well as how to perform calculations, modify worksheets, and apply formatting. The course delves into functions, lists, and data analysis tools, including PivotTables and charts. Learners will also learn how to work with multiple worksheets and workbooks, use lookup functions, and automate workbook functionality. With a focus on essential Excel tools and techniques, learners will gain the ability to efficiently manage and analyse data for business or personal use. Course Modules Module 01: Microsoft Excel 2019 New Features Module 02: Getting Started with Microsoft Office Excel Module 03: Performing Calculations Module 04: Modifying a Worksheet Module 05: Formatting a Worksheet Module 06: Printing Workbooks Module 07: Managing Workbooks Module 08: Working with Functions Module 09: Working with Lists Module 10: Analyzing Data Module 11: Visualizing Data with Charts Module 12: Using PivotTables and PivotCharts Module 13: Working with Multiple Worksheets and Workbooks Module 14: Using Lookup Functions and Formula Auditing Module 15: Sharing and Protecting Workbooks Module 16: Automating Workbook Functionality Module 17: Creating Sparklines and Mapping Data Module 18: Forecasting Data (See full curriculum) Who is this course for? Individuals seeking to improve their data management and analysis skills. Professionals aiming to enhance their productivity in Excel for business applications. Beginners with an interest in data analysis or office administration. Anyone looking to build a strong foundation in Excel for career advancement. Career Path Data Analyst Financial Analyst Office Administrator Project Manager Business Analyst Operations Manager Administrative Assistant HR Specialist

This Mindful Living course provides a journey of reflection and exploration through mindful methods, relaxation, affirmations and visualisation, which help you to transform your mindset and flourish.

Develop Big Data Pipelines with R, Sparklyr & Power BI Course Overview: This course offers a comprehensive exploration of building and managing big data pipelines using R, Sparklyr, and Power BI. Learners will gain valuable insight into the entire process, from setting up and installing the necessary tools to creating effective ETL pipelines, implementing machine learning techniques, and visualising data with Power BI. The course is designed to provide a strong foundation in data engineering, enabling learners to handle large datasets, optimise data workflows, and communicate insights clearly using visual tools. By the end of this course, learners will have the expertise to work with big data, manage ETL pipelines, and use Sparklyr and Power BI to drive data-driven decisions in various professional settings. Course Description: This course delves into the core concepts and techniques for managing big data using R, Sparklyr, and Power BI. It covers a range of topics including the setup and installation of necessary tools, building ETL pipelines with Sparklyr, applying machine learning models to big data, and using Power BI for creating powerful visualisations. Learners will explore how to extract, transform, and load large datasets, and will develop a strong understanding of big data architecture. They will also gain proficiency in visualising complex data and presenting findings effectively. The course is structured to enhance learners' problem-solving abilities and their competence in big data environments, equipping them with the skills needed to manage and interpret vast amounts of information. Develop Big Data Pipelines with R, Sparklyr & Power BI Curriculum: Module 01: Introduction Module 02: Setup and Installations Module 03: Building the Big Data ETL Pipeline with Sparklyr Module 04: Big Data Machine Learning with Sparklyr Module 05: Data Visualisation with Power BI (See full curriculum) Who is this course for? Individuals seeking to understand big data pipelines. Professionals aiming to expand their data engineering skills. Beginners with an interest in data analytics and big data tools. Anyone looking to enhance their ability to analyse and visualise data. Career Path: Data Engineer Data Analyst Data Scientist Business Intelligence Analyst Machine Learning Engineer Big Data Consultant

Microsoft Power BI Training Course Overview: The Microsoft Power BI Training course is designed to equip learners with the knowledge and skills to use Power BI effectively for data analysis and reporting. This course covers the core features of Power BI, from data import and transformation to the creation of reports and visualizations. Learners will explore how to analyse data, generate insights, and create dynamic dashboards for reporting purposes. Whether you are looking to improve your analytical skills or advance your career, this course provides the foundation needed to become proficient in using Power BI for various data analysis tasks. By the end of the course, learners will be able to handle large data sets, create compelling visual reports, and make data-driven decisions. Course Description: This comprehensive Microsoft Power BI course delves into the essential components of the Power BI platform. Learners will start by exploring how to import and work with data, before progressing to designing reports and visualizations. The course includes an in-depth look at the various types of visualizations available, enabling learners to display data in an intuitive, easy-to-understand format. Additionally, learners will explore the Power BI Web App to access and share their reports online. As they move through the course, participants will gain valuable skills in data transformation, reporting, and visualization, all of which are applicable to industries requiring data-driven decision-making. By completing this course, learners will have a solid understanding of Power BI and the ability to create impactful reports and dashboards for business or personal use. Microsoft Power BI Training Curriculum: Module 01: Getting Started Module 02: Working with Data Module 03: Working with Reports and Visualizations Module 04: A Closer Look at Visualizations Module 05: Introduction to the Power BI Web App (See full curriculum) Who is this course for? Individuals seeking to understand Power BI and data analysis. Professionals aiming to enhance their data reporting skills. Beginners with an interest in business intelligence and data analytics. Anyone looking to improve their ability to visualise data for better decision-making. Career Path: Data Analyst Business Intelligence Analyst Reporting Specialist Data Visualisation Specialist Business Analyst