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
Student Rating
4.9
1428 ratings
87%
11%
1%
1%
0%
Student Reviews (664)
  • Charles Abboud (Mar 14, 2024)

    The course is just very well done. It's free, andit's a high level introduction, but it correctly emphasizes that for Power BI at least, the simpler the schema (and by this they mean a star schema, and depending on your non-standard needs, you may well have to throw in some denormalization), the more straightforward will be the DAX. Having a bad or unorthodox data model in Power BI, is a road to DAX agony. Thank you Marco and Alberto for making this introductory high level course free. I look forward to enrolling your paid modeling course.

  • Martin Mudry (Mar 13, 2024)

    Awesome! Very useful!

  • Libongolethu Zothani (Mar 11, 2024)

    Very informative course

  • srikanth T (Mar 4, 2024)

    Good Theory

  • Alexander Rodriguez (Feb 28, 2024)

    Great module, thanks for sharing.

  • Simon Watkins (Feb 18, 2024)

    Clear, concise and easy to understand, without sacrificing on depth and detail. A great intro to data modeling in DAX, and an excellent refresher if you haven't worked with PowerBI in a while. Highly recommend!

  • Rita Kiss (Feb 7, 2024)

    Everyone who works with PowerBI should complete this course to make their life easier. Very useful and well explained.

  • Ujjwal Sinha (Feb 7, 2024)

    I recently completed the "Introduction to Data Modeling" course by SqlBI, taught by Marco Russo. It was a comprehensive and enlightening experience. I gained a deep understanding of data modeling concepts, including granularity, normalization, denormalization, and star schema organization. Marco's clear explanations and practical examples made complex topics easy to grasp. This course is invaluable for anyone looking to improve their data modeling skills and optimize DAX queries. Highly recommended!

  • Jorge Antonio da Costa Mattos (Feb 1, 2024)

    Very good introduction to data modeling. Congratulations and thank you.

  • Salim Trabelsi (Feb 1, 2024)

    good course I like the scenarios listed, thank you

  • Fred Lecul (Jan 16, 2024)

    Great course and also I good refresher on data modeling!

  • Austin Williams (Jan 10, 2024)

    Great Course for beginners!

  • David Johnstone (Jan 9, 2024)

    Great intro. I'm excited for the next course!

  • Angelica Young (Dec 20, 2023)

    Great intro - looking forward to learning more! I really like how they break down the different concepts to help me better understand the terms I've heard so many times before but just hadn't yet quite totally understood.

  • Delio Fagundes (Dec 17, 2023)

    Great Introduction. Thank you very much