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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 (701)
  • Nathan Prats (May 9, 2019)

    Thanks, very nice

  • Darren Weinstock (May 8, 2019)

    Great introduction to Data Modeling. The course takes complex topics and makes them make sense to a layperson. Thanks Marco and Alberto.

  • Cristian Sopán Chuquipul (May 7, 2019)

    i learn some concept that i work by default

  • Hannes Windisch (May 5, 2019)

    Very good introduction to this topic, well explained and interesting! Thank you!

  • Graham Getty (May 4, 2019)

    Best explanation / demonstration of importance of star schemas I've ever seen. As a business user of Power BI, I want to go directly to the visualizations of my data - this course was important reminder to review and optimize the data models as how the data is stored by a data vendor is not always (ever?) the best method for reporting and visualization.

  • Rup Rizal (May 2, 2019)

    Awesome intro. Any PowerBi model and reports I am going to work on in future will definitely focus on modeling and get efficient and simpler DAX measures.

  • BRUNO CIPPITELLI (Apr 29, 2019)

    It is really an amazing course. I Learned new powerfull techniques and reenforced others I had. Very clear and righ to the point. Thanks for it!!!. Grazie mille amici italiani.

  • Ariful Islam (Apr 25, 2019)

    Excellent Presentation

  • Davide Tringanelli (Apr 24, 2019)

    Grazie Marco e Alberto, molto interessante e ottime spiegazioni!

  • Livia Canet (Apr 24, 2019)

    Very Good!

  • Chingiz Gavryushkaev (Apr 24, 2019)

    You did a great job. I like the way you present the material. I wish you continued success.

  • Phil Armstrong (Apr 23, 2019)

    Great intro to data modelling. Perfect for anyone wanting to get the best out of PowerBI without existing BI modelling experience.

  • Cathy Yan (Apr 23, 2019)

    Excellent introduction course and presentation, Thanks!

  • fatima Essahibi (Apr 23, 2019)

    thank you for this great introduction

  • Grace Carpio (Apr 19, 2019)

    Thanks so much. I loved it