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
965 ratings
Student Reviews (491)
  • Tomasz Ksionek (Dec 7, 2021)

    A very good course. Thank you for your knowledge :-)

  • SQL Down Under (Dec 6, 2021)

    Great intro course guys

  • Simone Spezia (Dec 3, 2021)

    The course is very clear and very well done! I will definitely continue improving my knowledge in data modeling

  • Peeyush jha (Dec 3, 2021)

    Very Informative and really helpful. Cheers !!

  • Muhammad Raza (Nov 21, 2021)

    I would love to see how practically you denormalize the header and detail data.

    • Hi Muhammad, Please ask any questions inside the discussion section. Thanks, Claire
      Reply by Claire Costa (Nov 22, 2021)
  • Daniel Martinez (Nov 17, 2021)

    Excellent introductory course

  • Artur Vuorimaa (Nov 17, 2021)

    Perfect material for the beginners!

  • Selamawit Mihiretu (Nov 15, 2021)

    Thank you

  • Saidev Bhaskar (Nov 15, 2021)

    This is a course I would recommend everyone using Power BI should start off with or even plan to use Power BI to understand the importance and how effective a good data model can be for scaling and reducing the complexity of DAX measures which an unplanned model can lead to. This will help you start thinking in the right direction and helps you look at Data Modeling as the base and one of the most important steps on Data Modeling

  • Selamawit Mihiretu (Nov 11, 2021)

    Thank you

  • Daniel Farrell (Nov 10, 2021)

    Very informative. Was a good introduction to Data Modeling for PowerBI

  • Toni Hewlett (Nov 8, 2021)

    Thank you so much. That was very informative.

  • Daniel O. (Nov 6, 2021)

    good job

  • Andrea D'Acquarone (Nov 4, 2021)


  • Alejandro F. Solari (Oct 30, 2021)

    Excelente, aún cuando vengo utilizando Power BI para varios proyectos de diferente complejidad hace un tiempo y a pesar de ser un curso introductorio, pude obtener soluciones prácticas muy interesantes. Muchas gracias por la oportunidad de acceder a este conocimiento