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Power BI Data Preparation Playbook

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Eugene Meidinger

2:01:56

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  • 01 - Course Overview.mp4
    00:46
  • 02 - Choosing the Right Tool.mp4
    05:54
  • 03 - What Problem Does Power Query Solve.mp4
    05:41
  • 04 - When Is Power Query the Wrong Tool.mp4
    02:42
  • 05 - Summary.mp4
    00:25
  • 06 - What Is a Query.mp4
    06:07
  • 07 - Understanding the Query Editor Components.mp4
    02:20
  • 08 - Demo - Accessing the Power Query Editor in Power BI.mp4
    07:24
  • 09 - Demo - Accessing the Power Query Editor in Excel.mp4
    05:58
  • 10 - Demo - Accessing the Power Query Editor in SSAS.mp4
    05:30
  • 11 - Summary.mp4
    00:44
  • 12 - How Does Power Query Work.mp4
    03:34
  • 13 - Demo - Adding Steps.mp4
    03:12
  • 14 - Demo - Removing Steps.mp4
    02:07
  • 15 - Understanding Data Types.mp4
    10:00
  • 16 - Demo - Working with Data Types.mp4
    02:51
  • 17 - Summary.mp4
    00:24
  • 18 - Why Use M Code.mp4
    04:28
  • 19 - Accessing the Advanced Query Editor.mp4
    02:44
  • 20 - Demo - Accessing the Advanced Query Editor.mp4
    04:54
  • 21 - Sharing and Reusing Code.mp4
    02:39
  • 22 - Demo - Creating a Power BI Data Flow.mp4
    03:31
  • 23 - Demo - Creating a Custom Data Connector.mp4
    06:36
  • 24 - Demo - Copying M Code.mp4
    03:33
  • 25 - Summary.mp4
    01:15
  • 26 - Where Do Errors Occur.mp4
    02:20
  • 27 - Demo - Fixing Errors in the Data.mp4
    02:15
  • 28 - Demo - Replacing Error Values.mp4
    01:43
  • 29 - Demo - Fixing Errors in the Transformation Steps.mp4
    03:36
  • 30 - Demo - Using Try Logic.mp4
    02:37
  • 31 - Summary.mp4
    00:24
  • 32 - When Is M not Enough.mp4
    02:08
  • 33 - R or Python Which Is Right for Me.mp4
    02:26
  • 34 - Demo - Installing R.mp4
    02:13
  • 35 - Demo - Installing Python.mp4
    03:41
  • 36 - Demo - Adding Python to Power BI.mp4
    02:35
  • 37 - Summary.mp4
    00:39
  • File.zip
  • Description


    To model your data in Power BI, you need to clean it up first. In this course, you will learn to use Power Query, including how to navigate the Power Query editor, add data transformation steps, fix errors, and make advanced changes.

    What You'll Learn?


      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.

    More details


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    Eugene Meidinger
    Eugene Meidinger
    Instructor's Courses
    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.
    Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.
    • language english
    • Training sessions 37
    • duration 2:01:56
    • level average
    • Release Date 2023/10/11