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
4.9
2764 ratings
1-star Reviews (3 of 1406)
  • Daniel Gragg (Mar 7, 2024)

    Like others have shared it is difficult to follow with 2 presenters, only one of which you can see who disagree on the approach. They also did not follow their own rules or best practices. This was more of a do as we say training. The lack of attention to details was disappointing. Based on this experience I will not be paying money for any other trainings. Disappointing.

  • Blake Lane (Oct 25, 2023)

    Thank you for putting this together. Marco was doing a fine job explaining. However when I got to the part (in Calculated Columns) and an off camera audio starts to argue / debate with Marco, I quit. Totally jarring and unprofessional. Sorry, but that is not how video presentations are made. Example, watch the news. You will NEVER hear the broadcast manager yelling off camera to the news anchor. There is a reason for that. It's crap. Pick the talking head. Stick with it. You will do fine. Sorry guys. Love your books. I don't like your videos.

  • Vivek Rawat (May 5, 2019)

    Concepts are explain technically and how they behave, how using different things for example sumx or calculate can result into similar calculation, these things are really useful to know. In addition to this, I believe putting a use case or scenario showing when one will use one technique against other will of great use. I am learning all behavior of different technique but there is only question in my mind why i am learning different ways of calculating same things, only if there are examples which showing when one thing will be use against other will be of great use. I am happy discuss things in more details.

    • This is an introductory course which goal is to introduce the basic concepts of the DAX language. A more complete course is the Mastering DAX, which has the same approach going deeper in each topic. If you are more interested in learning practical solutions to common patterns, we have DAX Patterns, where you can find many practical examples without the explanation of how DAX works behind.
      Reply by SQLBI (May 5, 2019)