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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
Student Rating
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Student Reviews (745)
  • Ong Kam Siong (Aug 17, 2025)

    This is the most comprehensive course with detailed explanation about data modeling. I particularly like the scenarios provided.

  • Varsha R (Aug 15, 2025)

    I would say this wasn't as clear as the DAX one. Many concepts could have used a visual representation, as it's difficult to visualize what the teacher is saying. This is a beginer friendly course but honestly some of the lessons could have used more time and explanation.

  • Pedro Pablo Montoya Usme (Aug 12, 2025)

    Muy buena información excelente

  • Mahesh Karande (Aug 11, 2025)

    Very informative course with easily understandable contain.

  • Abdul Nafie (Jul 25, 2025)

    It was very informative

  • Dulce Delgado (Jul 21, 2025)

    Amazing! I just wish I had taken the course a few mistakes earlier, time to fix them now!

  • Sandip Soni (Jun 22, 2025)

    This course really gain my knowledge about data modeling thanks youy

  • Koen Steenkiste (Jun 9, 2025)

    Excellent and simple explaining all the way.

  • Aditya verma (Jun 5, 2025)

    good lectures.

  • Charles Capamagian (Jun 3, 2025)

    Very good intro to data modelling, thankyou

  • Alireza Bahiraee (May 17, 2025)

    Simple & Straightforward

  • Mario Ivan Garcia Espinosa (May 16, 2025)

    Excellent course!

  • Anne Marie Silke (Apr 25, 2025)

    Absolutely fantastic! thank you so much, I learned so much from this course.

  • Michael Napthine (Apr 23, 2025)

    Good examples, simply explained, good pace, suitable for novices or converters from other products.

  • Mark Roach (Apr 22, 2025)

    Excellent, very well presented and easy to follow.