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
1473 ratings
Student Reviews (684)
  • Sinisa Ivkovic (Jul 5, 2024)

    Nice introduction.

  • Shivam Sharma (Jun 26, 2024)

    the course was fantastic , thanks alberto and team!

  • Billy Joe Wilsher (Jun 22, 2024)

    I am currently working toward my PL-300 using datacamp's Data Analyst in Power BI. This course does give some additional information missed out in their program. So worth a watch.

  • Aldo Alava (Jun 21, 2024)

    Clear and concise explanation of data modeling within a short series of presentations.

  • Ali Alper Tonga (Jun 9, 2024)

    I'm a beginner with some knowledge around SQL, Excel, PowerPivot, Power BI and DAX. This training was extremely helpful for me to find out where I am with my knowledge and what I need to learn next. Also, this course gave me practical knowledge that I can immediately use to improve my current Power BI dashboards. Thank you.

  • Erin Mulligan (Jun 2, 2024)

    PRetty good!

  • Pawan Sukheja (May 31, 2024)

    This Data Modeling course by SQLBI was fantastic. I especially loved the in-depth explanation of star schema design. It really helped me improve my model building for complex datasets. Thanks to this course, I feel confident tackling data modeling challenges in my upcoming project. I highly recommend this course to anyone who wants to take their data analysis skills to the next level.

  • Oded Dror (May 30, 2024)


  • Marcos Osorio (May 23, 2024)


  • Helena Szulc (May 15, 2024)

    Excellent intro to data modeling!

  • Daniel Bradley (May 6, 2024)

    It was a great way to be introduced to data modeling, however if it were a follow-along course I think it would have been more beneficial.

    • Hi Daniel, Thank you for taking the time. Can you please email me at info to expand on your suggestion? Thank you! Claire
      Reply by Claire Costa (May 7, 2024)
  • John Waugh (Apr 27, 2024)

    Very informative course. Would have liked some actual detail demonstrating how two or multiple fact tables are de-normalized just to add a bit of clarity.

  • Marcel Louwes (Apr 21, 2024)

    Great Training, very well explained. Thanks!

  • Fabian Mercado (Apr 17, 2024)

    Very well explained. Thanks.

  • Sujit Patil (Apr 16, 2024)