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Introducing DAX Video Course

This is an introductory video course about the DAX language. DAX is the native language of Power BI, Power Pivot for Excel, and SSAS Tabular models in Microsoft SQL Server Analysis Services. The training is aimed at users of Power BI, Power Pivot for Excel, and at Analysis Services developers that want to move the first steps with DAX.

The goal is to teach the DAX language using Power BI for all the examples. You can download the initial Power BI Desktop file used in the demos and repeat all the steps shown in the videos. The same concepts can be used also on Power Pivot and on Analysis Services Tabular. The course is made of 150 minutes of lectures. You can watch the videos at anytime and the system will keep track of your advances. Within the course you can download the slides and the initial Power BI file used in the demos.

Collapse allCurriculum

  • Presentation of Introducing DAX

    • Presentation of Introducing DAX Video Course

  • Slides and examples

    • How to download and use the examples

  • Introduction to DAX

    • Introduction to DAX
    • What is DAX?
    • Calculated Columns
    • Measures
    • Aggregation Functions
    • Using Variables

  • Table Functions

    • Table Functions
    • Calculated Tables
    • Filtering a Table
    • Removing Filters
    • Mixing Filters
    • DISTINCT
    • RELATEDTABLE

  • Evaluation Contexts

    • Evaluation Contexts
    • What is an Evaluation Context?
    • Example of a Filter Context
    • Row Context
    • There are Always Two Contexts

  • CALCULATE

    • CALCULATE
    • What is CALCULATE?
    • Filters are Tables

  • Evaluation Contexts and Relationships

    • Evaluation Contexts and Relationships
    • Filters and Relationships
    • Row Context - Many Tables
    • Filter Context - Many Tables
    • Context Transition

  • Time Intelligence in DAX

    • Time Intelligence in DAX
    • Date Table
    • What is Time Intelligence?

  • Conclusion

    • Conclusion
Student Rating
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Student Reviews (1478)
  • Revital Ronen (Nov 19, 2024)

    super!

  • Ahmed Aljohani (Nov 19, 2024)

    Great course!

  • BrooksBuckelew (Nov 14, 2024)

    good training!

  • BNHP (Nov 14, 2024)

    Good and simple overview of the basics of DAX. Will be a good starting point for me as a new PBI user.

  • BARTŁOMIEJ WÓJCIK (Nov 7, 2024)

    Great course, explaining all the basic formulas and the relationships between them. I will be returning to this course often.

  • Andreas Scott Pedersen (Nov 5, 2024)

    Great, easy to understand - could have been rehearsed a bit more. Not that accessible when you talked over each other (and I wasnt sure if your arguments with each other were real or part of your performance?) Other than that great, and can I really complain when this is free and high quality?

  • Daniel Osorio Vargas (Nov 3, 2024)

    The "Introducing DAX Video Course" is a detailed introduction to getting started in this language.

  • Olha Rukshyna (Nov 1, 2024)

    Thanks for comprehensive course. It'd be nice to have popup questioner at the end of the each video for improvement the students' engagement.

  • Mayukh Datta (Oct 27, 2024)

    Great Course

  • Haitham Taha (Oct 25, 2024)

    Thank you

  • Muhammad Naveed (Oct 18, 2024)

    SQLBI offers highly comprehensive and in-depth courses on DAX, perfect for those looking to master the language used in Power BI and Analysis Services. Their learning resources cover everything from foundational concepts to advanced techniques, with detailed explanations and practical applications. While the pace may feel slower for some, the level of detail ensures a solid understanding of DAX for real-world problem-solving.

  • LUIS GRAU (Oct 12, 2024)

    Excellent course, thanks!,

  • Manoj Bavakad (Sep 29, 2024)

    Awesome coverage, gives a bird eye view of the concept, gives clarity intricate concepts and truly TEACHERS.

  • Claude Hercend (Sep 28, 2024)

    Excellent content! i nearly change my whole perception of DAX with these few videos, the theory in the DAX Bases is a must !

  • Paul Frampi (Sep 27, 2024)

    Very clear!