Introduction to Data Modeling for Power BI Video Course

Introduction to Data Modeling for Power BI is an introductory video course about data modeling, which is a required skill to get the best out of Power BI, Power Pivot for Excel, and Analysis Services. The training is aimed at users that do not have a background knowledge in data modeling for analytical systems and reporting.

The goal of the course is introduce the primary concepts of dimensional modeling, using practical examples and demos to illustrate how to obtain the desired result without having to write complex DAX expressions. Creating a proper data model simplifies the code to write and improves the performance. The course is made of 100 minutes of lectures. You can watch the videos at any time and the system will keep track of your advances. Within the course you can download the slides and the Power BI files used in the demos.

Collapse allCurriculum

  • Presentation of Introduction to Data Modeling for Power BI

    • Presentation of Introduction to Data Modeling for Power BI
  • Slides and demos

    • How to download and use demo files
    • Demos download
    • Slides of the video course
  • Introduction to data modeling

    • Introduction to data modeling
    • Introduction
    • Scattered information
    • Business entities
  • Normalization and denormalization

    • Normalization and denormalization
    • Introducing normalization and denormalization
  • Star schemas

    • Star schemas
    • Introducing star schemas
    • Placing tables in a diagram
    • If you don't have a star schema
  • Why data modeling is useful

    • Why data modeling is useful
    • What is the role of a data model
  • Data modeling scenarios

    • Data modeling scenarios
    • Common scenarios
    • Header / detail tables
    • Back to a star schema
    • Multiple fact tables
    • Building a star schema
    • Handling multiple dates
    • Multiple relationships with date
    • Events with different durations
    • Precompute the values
  • Conclusion

    • Conclusion
Student Rating
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3-star Reviews (9 of 562)
  • Gary Edgington (Nov 29, 2022)

    This did not feel like an introduction. Perhaps more like a continuation of and earlier course I may have missed. I struggled to keep up with the concepts being used.

  • Pim Vreeswijk (Aug 2, 2022)

    z

  • Sagun Thakur (May 2, 2022)

    Very informative

  • J H (Feb 9, 2022)

    The lecture is not hard to understand, however the samples in the video used was not so easy to read for beginners, need more explanation for the DAX code used in the video.

    • Hi Jack, Thank you for taking the time to leave some feedback today. According to our guide (https://www.sqlbi.com/guides/dax/) the Introducing DAX video should be watched first. The purpose of the DAX code in the “Introduction to Data Modeling” course is to show how complex DAX code turns out without a good data model. Happy Learning, Claire
      Reply by Claire Costa (Feb 10, 2022)
  • Bhanu Prasad Jujjavarapu (Sep 25, 2021)

    GOOD, BUT COULD HAVE BEEN BETTER IN EXPLAINATION

  • Anjali Gupta (Jun 29, 2021)

    i dont know but cant this dax and data modelling a little bit easier to gulp down the throat for we beginners. All the thanks to God that somehow i thrived this one.

  • pedro Reynoso ogando (May 19, 2021)

    Excelente, me gustaría que los audios video sean en español tambien

    • Hi Pedro, Thank you for your comment. As you may have noticed we provided Spanish subtitles. These are translated automatically from hand-written English subtitles. Claire
      Reply by Claire Costa (May 20, 2021)
  • Nijal Enasu (Jan 23, 2021)

    very good course to persue

  • Sidney Cavalcante (Aug 8, 2020)

    The course opened the eyes of the need for modeling, as the work will be smaller and easier on DAX.