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
  • Evaluation Contexts

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

    • 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
2344 ratings
Student Reviews (1195)
  • Ahimsa de Silva (Mar 22, 2023)

    Its was totally worth it of learning the DAX

  • James Fryer (Mar 21, 2023)

    Really good beginning concepts! I certainly feel that this course covered enough to leave the customer intrigued as to how DAX/DAX Studio can continue in future lectures.

  • MUHAMMAD REDWAN - DEWAN (Mar 19, 2023)

    I think, the best possible way of learning DAX is definitely "sqlbi". Thank you sqlbi team for your wonderful effort.

  • mohamed Rafat Hefny (Mar 15, 2023)

    good instructor and i'd like to thank your platform and your efforts

  • Abdulhadi Bakhash (Mar 11, 2023)

    Since I started learning DAX a year ago, this small free course was an invaluable help for me to re-understand the whole concept. I'm thinking about taking the Master's course as well.

  • Aditya Narayan Dash (Mar 9, 2023)

    The course is totally good for a beginner in DAX. Thanks for this amazing course

  • Marketa Santusova (Mar 8, 2023)

    Great usefull course. Pros: well prepared, good format and information value. It is my go-to course following "Microsofts Dashboard in a Day" that I recommend to colleagues who start with Power BI. Thank you. A tiniest of cons - the nosy person in the audience with his interruptions was a liiittle bit annoying. :-)

  • Ashok Gupta (Mar 7, 2023)

    "Thank You So Much For Everything"

  • Marek Dec (Mar 6, 2023)

    Great course, with everything well explained :D

  • Ted Panebianco (Mar 3, 2023)

    grazzii tantissimo

  • Ana Gabriela Girón Martínez (Mar 2, 2023)

    El curso muy útil, en mi caso que no domino 100% el idioma ingles, me tarde un poco más pues aunque tenga subtitules distrae un poco al momento de la presentación de las demos. Todo muy claro.

  • Ramu Sanga (Mar 1, 2023)

    Thank u wonderfull all session . please share download link all videos

  • a b (Mar 1, 2023)

    Thank you!

  • Riccardo Bardi (Feb 26, 2023)

    Amazing job! It's a great course. Thank you for your clearness and competence

  • Yoon Hee Kim (Feb 22, 2023)

    Thank you ! It helps to understand the row context, filter context as well as anothers functions used which I had no idea before. Especially, this makes me clear to understant between the mesure and the column function.