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Intermediate Power Query in Excel

Building on your foundational Power Query in Excel knowledge, this intermediate course takes you to the next level of data transformation mastery

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Course Description

Building on your foundational Power Query in Excel knowledge, this intermediate course takes you to the next level of data transformation mastery. Discover advanced data integration techniques, including appending and merging datasets with various join types. Delve into M language syntax for creating custom conditional columns and harness advanced table transformations. Unlock the Power Query Advanced Editor, exploring M's built-in functions, mastering best practices like query grouping, and dynamically adjusting filter criteria with parameters. Elevate your skills by crafting custom M formula language functions, unleashing advanced query design capabilities that will empower you to extract deeper insights from your data.
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In the following Tracks

Data Analysis with Excel Power Tools

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  1. 1

    Combining Queries in Power Query

    Free

    In this chapter, you’ll delve into Power Query's data integration capabilities. You’ll master the art of appending queries to combine datasets seamlessly. You’ll also learn to merge datasets together, harnessing various join types to render datasets in multiple ways.

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    Appending and merging queries
    50 xp
    Using Append vs. Merge
    100 xp
    Combining queries with Power Query
    50 xp
    Appending queries
    100 xp
    Merging queries with left outer join
    100 xp
    Merging queries with inner join
    100 xp
  2. 2

    Custom columns

    It’s all about customization in this chapter. You’ll learn the fundamentals of M language syntax, and how it underpins every transformation step in query development. You’ll leverage M to create custom conditional columns using logical operators to suit numerous scenarios. You’ll also delve into M table transformation expressions to create custom grouped index columns, enhancing your proficiency in advanced query design.

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  3. 3

    M Formula Language

    In this final chapter, you’ll delve into the Power Query Advanced Editor, unraveling M-Language syntax for code modification and debugging. You’ll explore M's built-in functions, and master best practices such as query grouping and dynamic filtering with parameters. Lastly, you’ll elevate your skills by crafting custom M formula language functions, unlocking advanced query design capabilities

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In the following Tracks

Data Analysis with Excel Power Tools

Go To Track

datasets

Exercises and Datasets

collaborators

Collaborator's avatar
Jess Ahmet
Collaborator's avatar
Iason Prassides
Lyndsay Girard HeadshotLyndsay Girard

Analytics Consultant, Halton Healthcare Services Corp

Lyndsay Girard is a highly skilled analytics consultant with Halton Healthcare Services Corp. She has over 15 years of experience in hospital analytics, utilizing BI tools and advanced analytical methods to drive data-driven decisions and transformative change. Lyndsay holds a Master’s of Science degree in Epidemiology from McGill University and is passionate about helping learners grow their analytics skills and bring their careers to the next level! When not delving into data, Lyndsay enjoys weightlifting and wilderness camping adventures.
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