In order to model your data in Power BI, you need to clean it up first. In this course, Power BI Data Preparation Playbook, you will learn how to do so with Power Query. First, you’ll learn when Power Query is the right tool for the job, and how to navigate the Power Query editor. Next, you’ll explore how to add data transformation steps and access the underlying query code. Finally, you’ll discover how to fix errors and go even further using Python and R. By the end of this course, you’ll feel completely comfortable using the Power Query Editor.
Author Name: Eugene Meidinger
Author Description:
Eugene Meidinger works as an independent BI consultant and Pluralsight author, specializing in Power BI and the Azure Data Platform. He has been working with data for over 8 years and speaks regularly at user groups and conferences. He also helps run the GroupBy online conference.

Table of Contents

• Course Overview
  0mins
• Choosing the Right Tool for the Right Job
  14mins
• Navigating the Query Editor
  28mins
• Adding and Removing Steps in Your Data Recipe
  22mins
• Accessing the Underlying Query Code
  29mins
• Fixing Errors in Your Workflow
  12mins
• Extending the Query Editor with R and Python
  13mins