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Phillip Burton • 950000+ students so far and I Do Data Limited

This course will introduce you to Microsoft Power BI — one of the world’s most powerful business intelligence and data visualization tools. Whether you're a complete beginner or looking to sharpen your reporting skills, this hands-on course will guide you through the essential tools and concepts of Power BI.

We’ll start by off with Power BI Desktop.

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This course will introduce you to Microsoft Power BI — one of the world’s most powerful business intelligence and data visualization tools. Whether you're a complete beginner or looking to sharpen your reporting skills, this hands-on course will guide you through the essential tools and concepts of Power BI.

We’ll start by off with Power BI Desktop.

  • We'll look at how you can download it for free.

  • You’ll learn how to connect to data sources such as Microsoft Excel, create your first visualizations, and use aggregate functions to explore your data.

  • We’ll also examine different visualization controls and how features like AI Insights can help you detect trends and anomalies.

  • You’ll also see how to filter data effectively and start building compelling reports.

Next, we’ll take a closer look at data preparation using the Power Query Editor.

  • You’ll load queries, clean and transform your data, and even combine multiple sources.

  • We’ll walk through the Reports, Data, and Model tabs inside Power BI Desktop and learn how to design a clean, intuitive data layout.

Finally, we’ll move on to the Power BI Service, which runs in any modern web browser.

  • You’ll learn how to publish reports, understand Power BI terminology like semantic models, dashboards, and workspaces, and how the Desktop and Service experiences differ.

  • After that, we’ll build dashboards in the Power BI Service, including how to add visuals using natural language with Q&A.

  • You’ll learn how to work with shared datasets, template apps, and even explore the concept of paginated reports.

  • Finally, we’ll explore how to view Power BI content on mobile apps and through various report-sharing options.

The Power BI course comes complete with regular practise activities, quizzes and a practice activity to support your learning along the way. By the end of the course, you will be much more confident about using Power BI, and create your own visuals, data analysis, and dashboards.

Once you have completed this course, you will have a good introductory knowledge of Power BI Desktop and Power BI Service, and how you create visuals and manipulate data.

So, without any further ado, let's have a look at how you can use the Udemy interface, and then we'll have a look at the objectives for the exam and therefore the syllabus for this course.

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What's inside

Learning objectives

  • Creating visualizations in power bi desktop
  • Managing data in the power query editor
  • Understanding power bi service terminology
  • Creating dashboards in the power bi service

Syllabus

Introduction
Welcome to Udemy
How to get the best out of your Udemy course
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Learners who complete An introduction to Power BI will develop knowledge and skills that may be useful to these careers:

Reading list

We haven't picked any books for this reading list yet.
Provides a collection of data analysis recipes that demonstrate how to use Power BI to solve real-world data analysis problems. It valuable resource for users who want to learn how to use Power BI to analyze data effectively.
Is widely considered the essential reference for understanding DAX, the formula language of Power BI. It provides a comprehensive deep dive into DAX concepts, evaluation contexts, and optimization techniques. While challenging, it's invaluable for anyone seeking to truly master Power BI's analytical capabilities and is often recommended for intermediate to advanced users and professionals.
Provides a hands-on guide to using Power BI for data science tasks. It covers topics such as data preparation, data modeling, machine learning, and data visualization. It valuable resource for data scientists who want to use Power BI to enhance their data science workflows.
Another strong resource for learning Power Query, this book by a well-known Power BI expert covers data transformation techniques in detail. It's suitable for users who want a thorough understanding of Power Query's capabilities.
Focuses specifically on Power Query (M), the data transformation engine in Power BI. It's an excellent resource for users who need to connect to, clean, and shape data efficiently before analysis. It covers the M language in detail with practical examples, making it highly relevant for data preparation tasks.
Written by the same authors as 'The Definitive Guide to DAX', this book provides a strong foundation in data modeling and analysis using Power BI and Power Pivot. It's a great bridge for those transitioning from Excel and offers clear explanations of key concepts with practical examples.
Offers a beginner-friendly introduction to Power BI, covering the basics of connecting to data, building models, creating visualizations, and sharing reports. It's a good starting point for those with little to no prior experience in business intelligence or Power BI.
Aimed at intermediate to advanced users, this book delves into expert techniques for creating impactful Power BI solutions. It covers various aspects of Power BI, including data modeling, visualization, and deployment, making it a valuable resource for professionals seeking to enhance their skills.
Provides a step-by-step approach for beginners to learn Power BI, covering essential topics from connecting to data sources to building interactive reports. It includes practical examples and exercises to help solidify understanding and is suitable for those just starting out.
Serves as a practical cookbook for solving common business problems using DAX. It provides a collection of reusable DAX patterns, making it an excellent companion to 'The Definitive Guide to DAX' for applying DAX in real-world scenarios.
Focuses on the practical application of Power Query for data collection, combination, and transformation in both Excel and Power BI. It's a valuable resource for anyone who spends significant time preparing data for analysis.
This guide provides a quick introduction to Power BI for beginners, covering essential topics like data modeling, visualization, and storytelling with data. It's a good resource for getting up to speed quickly with the core functionalities of Power BI.
Specifically aimed at Excel users transitioning to Power BI, this book leverages existing Excel knowledge to introduce Power Pivot, Power Query, and DAX. It's a helpful resource for those with a strong Excel background looking to expand their capabilities.
An earlier but still relevant guide to the M language in Power Query, this book provides a solid understanding of the data transformation capabilities within Power BI and Excel. It's particularly useful for those who want to delve deeper into custom transformations.
The second edition of this book provides updated coverage on expert data modeling techniques in Power BI. It's a key resource for users looking to build optimized data models for complex reporting and business needs.
Focuses on teaching DAX in a practical and accessible way, particularly for those with an Excel background. It emphasizes the importance of DAX for unlocking the full potential of Power BI.
Serves as a practical guide for beginners to get started with self-service data analytics using Power BI Desktop and Excel. It covers the fundamental steps involved in the BI process using these tools.
Focuses on the essential skill of data modeling within Power BI, covering concepts relevant to Power BI, Analysis Services tabular, and SQL databases. It's a valuable resource for understanding how to structure data for effective analysis.
A concise introduction to Power BI from leading experts, this book provides an overview of the platform and its capabilities. It's a good starting point for understanding the Power BI ecosystem before diving into more technical details.

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