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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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5-star Reviews (649 of 749)
  • Thomas Malone (Nov 28, 2022)

    Always enjoy SQLBI content. Very well presented and explained. Thank you.

  • Rowena Shepherd (Nov 28, 2022)

    Very well explained

  • Tuhin Ghosh (Nov 5, 2022)

    Excellent Introductory Course for Data Modelling. This may be the first step for anyone aspiring to be a data analyst who wants to learn data modelling. The course covers an introduction to data modelling, the importance of data modelling, an introduction to star schema, etc.

  • Donald Parish (Oct 29, 2022)

    Good introduction to those new to Power BI. I will recommend this course first, with reading the Analyzing Data book to follow up. I found the discussion questions interesting as well. Thanks for your time in answering those questions.

  • Flavio Benucci (Oct 26, 2022)

    Ottimo e molto utile!

  • Sharon Murphy (Oct 19, 2022)

    Greatly enjoyed the course! The content was helpful in understanding some of the current data models used in my team's dashboard reporting.

  • Douglas Russell Richards (Sep 29, 2022)

    A particularly good introduction to Data Modeling, explanation was done at a level where a beginner can start to understand the basic concepts and logic.

  • Faustino Alfredo Alexandre (Sep 27, 2022)

    If I could describe this introductory course in data modelling I would simply say: Amazing.

  • Barry Schoehuijs (Sep 27, 2022)

    Good course! I also bought your books and I'm excited to use them!

  • Michael Thompson (Sep 24, 2022)

    Had a lot of fun!!! Keep it up!!!

  • Jean-Georges Dorn (Sep 12, 2022)

    Thanks Very interesting. Links to M training are missing

    • – Hi Jean-Georges, I'm afraid we only provide training on DAX and Data Modeling at SQLBI. We offer no training solutions on M. Thanks, Claire
      Reply by Claire Costa (Sep 12, 2022)
  • Mulu Tesfai (Sep 9, 2022)

    Great lesson, thank you!!

  • Diego Jose Benitez Rezk (Sep 5, 2022)

    Ottimo e molto chiaro!

  • SREERAM BHALLAM (Sep 2, 2022)

    Great explanation

  • Winston Alexander Hope (Sep 1, 2022)

    Excellent form and presentation!