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 (712)
  • Sihan Gunathilake (Feb 23, 2023)

    Great Explanation. Looking to continue paid course as well.

  • andrea naticchi (Feb 22, 2023)

    bello

  • Anna Mallek-Bojke (Feb 13, 2023)

    grateful course, all fundamentals are here, thank you!

  • David Broyles (Feb 8, 2023)

    The data modeling scenarios were helpful. What to do when you have multiple dates + dates with different durations made it clear to me

  • August Baardson (Jan 30, 2023)

    great

  • Louis Endendijk (Jan 25, 2023)

    Tx guys. A very understanable introduction to datamodeling and starschema

  • Stivi Ajazi (Jan 24, 2023)

    Very detailed and comprehensive course.

  • Loïc Dikanga (Jan 11, 2023)

    Good

  • Rohit Kaushik (Jan 6, 2023)

    Basic Understanding about the Modeling in a respective way

  • Shuja Shakir (Jan 1, 2023)

    Like always, Marco and Alberto are awesome in their teaching. Thank you for a wonderful introduction to a complex subject like data modelling. I have learnt a lot from this course.

  • Shelby McIntyre (Dec 23, 2022)

    Awesome, as always. I came into this knowing the very basics of star schemas and de/normalization so I though I wouldn't get much out of it... but the data modeling scenarios were GOLD. I've run into those exact problems in my work before and I love the framework they provide in this class to understand how to *approach* those problems (even if the execution of them is for a more in-depth course).

  • Camilo Giraldo (Dec 23, 2022)

    This course covers very basic, but important information to understand data relationships and methodologies used to get accurate good performing results. I always learn something new from this team!

  • J M (Dec 19, 2022)

    Excellent course!

  • Ahmed Allawy (Dec 18, 2022)

    it is a great course

  • Amit Alex Solanki (Dec 7, 2022)

    This was a good course to understand the nuances of data modelling. Explains why a good data model is essential in data analysis. It is a perfect short course to cover basics of data modelling with easy examples.