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 (665)
  • Zahid Ameerodien (May 13, 2020)

    I enjoyed this course thoroughly, simple explanations and very well structured. Thank you !!!

  • Gilberto Gomes de Sales (May 13, 2020)

    show

  • Juan Santamaría (May 12, 2020)

    Excellent video course for the introduction to data modeling!

  • Anastasiya Davydova (May 8, 2020)

    Thank you for this course! It was very usefull and interesting!

  • Filip Czaboryk (May 4, 2020)

    It was a great introduction to data models

  • Chris Johnston (May 2, 2020)

    A wonderful course, thank you! Really, really appreciated. Will definitely check out your data modelling book next :)

  • Jorge Rosero Castillo (Apr 29, 2020)

    GRACIAS POR SU AYUDA Y POR COMPARTIR CONOCIMIENTOS

  • Khai Boon Chai (Apr 29, 2020)

    A good understanding of data modeling is critical before we plunge into power pivot and DAX. Overall, a great intro and clear/concise explanation. Great work!

  • giancarlo gonzales (Apr 28, 2020)

    Thanks for all

  • Ziad Mutaher (Apr 27, 2020)

    very good course

  • Sheri Santosh (Apr 27, 2020)

    Very useful and explained in detail in a simple steps

  • Alexander Demchenko (Apr 26, 2020)

    Ciao, guys! I've just attended your free Data Modeling for Power BI Video Course and must say that it's beautiful, simple to understand and use as every other video course, book, training or an article you do or publish! Grazie mille and keep going! Take care and stay safe!

  • Deborah Compton (Apr 25, 2020)

    Great Introduction, I really enjoyed it. I did have to rearrange the layout of the tables in the practice files, as I found it easier to grasp the filter flows with the dimension tables arranged at the top and the fact tables positioned underneath.

  • Jose Burrull Cornejo (Apr 23, 2020)

    Excelente curso introductorio, que nos enseña lo principal, el correcto y óptimo modelado de datos en PowerBI, con sugerencias desde trabajar los datos en la fuente misma de los datos, SQL, por ejemplo, o bien pasando por M, y en última instancia por DAX ; terminando así con correctos cálculos y adecuada visualización de los datos.

  • Cecilie Clausen (Apr 22, 2020)

    Very helpful videos.