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
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Student Reviews (702)
  • Mayank Bahuguna (Apr 6, 2022)

    Informative

  • Edwin Khamasi (Mar 31, 2022)

    What I have learnt here is that the traditional skills of modelling an ERP database don't always apply when modelling a report schema

  • Sebastian Schnabel (Mar 24, 2022)

    Great Overview about Data Modelling!

  • Simone Piwowarczyk (Mar 21, 2022)

    Excellent!!! Congrats!!! Thank you!!! :)

  • Tyla Ono (Mar 19, 2022)

    Helpful for the most part. A little bit hard to follow the more complex data models without having a good understanding of the underlying data. This made it harder to understand the context.

  • Antonio Puentes (Mar 18, 2022)

    An excellent introductory course of Data Modeling. I am taking my first steps in the world of Data and this introduction was fantastic, understandable and a very good guide.

  • Slavko Vujnovic (Mar 5, 2022)

    Excellent course!

  • Martin Collazos (Mar 1, 2022)

    A must have to every Power BI developer, strong basics and a good introduction to think in the model more than Dax

  • Venessa TImmerman (Feb 15, 2022)

    Great course to teach model basics and also touching on some of the complexity and common questions!

  • Patrick Daalmeijer (Feb 10, 2022)

    Excellent, nice overview of pitfalls en remedies!

  • 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)
  • Jean Marie Bertrand (Feb 9, 2022)

    Very good. I'll have to watch this again to absorb everything. The instructor spoke slowly and clearly. I liked him as a teacher.

  • Jean Karol Racchumí Muchaypiña (Jan 29, 2022)

    Thank you! This course is extremely helpful and the best.

  • Przemek Zawadzki (Jan 29, 2022)

    Great course. The theoretical part is a bit of confusing in the begining but very much needed to create complex and efficient data models.

  • Abdul Qayyum Kadri (Jan 26, 2022)

    Can't find this content anywhere. I has solved most of my questions and doubt regarding data modelling