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 (672)
  • Joao Monteiro (Feb 2, 2020)

    Just one word. Great. My thanks for sharing your knowledge so clearly and for free. I will certainly buy one of your complete courses, I was just wondering if I should buy Data Modeling or Mastering DAX, since I don't have the money to buy both.

  • Alessandro Cavallini (Jan 29, 2020)

    Very useful!

  • Chamila Mihiripenna (Jan 19, 2020)

    Very well organized. Simple but yet powerful examples. Good scenarios used. Thanks for this offer.

  • Domenico Musolino (Jan 15, 2020)

    A great introduction to critical aspects and terms of Data Modeling. Quick and easy to follow, I recommend it to anybody who is starting using Power BI.

  • Nini (Jan 13, 2020)

    Thank you for this free course, I learned a lot in a short time, the examples are very well chosen and facilitate the understanding of beginners

  • Amaru Quinones (Jan 12, 2020)

    Fantastic introduction! I will definitely want to learn more!

  • JOSE NSIARI MUZEYI BIEY (Jan 12, 2020)

    good introductory course

  • Raymundo Cabato (Jan 11, 2020)

    This is AMAZING!

  • Maurizio Faini (Jan 8, 2020)

    As usual for SQLBI, another great course. The importance of star schema and how to use multiple relationship is very very useful. Thanks.

  • Eli Mirvic (Jan 8, 2020)

    Great Intro... also a good refresher if you feeling rusty :)

  • CRISTIAN GARCIA (Jan 6, 2020)

    Excelente curso, destaco la claridad del docente para explicar cada detalle y destaco la forma de presentar la información con dos pantallas superpuestas. Espero poder tomar el curso completo en el corto plazo. (Argentina)

  • Ethan Wilkinson (Jan 6, 2020)

    Great introduction of how to do data modeling in PowerBI.

  • Peter Foster (Jan 5, 2020)

    Excellent course! On to the full Data Modelling course now!

  • Jónheiður Ísleifsdóttir (Jan 3, 2020)

    Very good introduction and explanations on how to model data well and how to deal with the different scenarios.

  • Aleksandr Yakovenko (Dec 24, 2019)

    Thanks