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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4-star Reviews (59 of 702)
  • Vijay Kumar (Sep 23, 2024)

    Good

  • Chaithanya Kumar Bandaari (Sep 14, 2024)

    Easy and clear explanation about Data modelling in a very short time.

  • Hotoo Mal (Sep 8, 2024)

    it was good introduction course on data modeling, which covered key concepts such as granularity, centralized and decentralized data, and the star schema. The course provided in-depth training on building relationships between different data elements, equipping me with the skills to design efficient and scalable data models. Through practical exercises and real-world examples, I gained a solid understanding of how to structure data to enhance accessibility and performance in various analytical scenarios.

  • Billy Joe Wilsher (Jun 22, 2024)

    I am currently working toward my PL-300 using datacamp's Data Analyst in Power BI. This course does give some additional information missed out in their program. So worth a watch.

  • John Waugh (Apr 27, 2024)

    Very informative course. Would have liked some actual detail demonstrating how two or multiple fact tables are de-normalized just to add a bit of clarity.

  • Suman Yadav (Nov 17, 2023)

    This course is really awesome and provide depth knowledge of data modelling.

  • gudla manikanta (Aug 15, 2023)

    It was a great platform to learn data modelling concepts

  • Qamaruddin Khichi (Aug 2, 2023)

    It was an amazing course, learned a lot. Thanks!

  • Rony Benny (May 7, 2023)

    Very informative series. Some points were a bit difficult to grasp considering I am a beginner, so rewatched them multiple times, but overall, loved it.

  • Rohit Kaushik (Jan 6, 2023)

    Basic Understanding about the Modeling in a respective way

  • Parag Ingale (Nov 22, 2022)

    Session was Good, informative.

  • Srinu Ravi (Nov 8, 2022)

    Nice Explanation and enjoyed it.

  • Prudvi Raju (Nov 1, 2022)

    Nice

  • Michael Lilja (Oct 10, 2022)

    Thanks for the course. I thought it was very helpful and give me practical insights of how to address data modelling scenarios/problems.

  • Mangesh Palwade (Sep 26, 2022)

    The Overall information on Data Modelling was Good.