Data Modeling for Power BI Video Course

Data modeling is a required skill to get the most out of Power BI, Power Pivot for Excel, and Analysis Services. This video course is aimed at users of Power BI Desktop or Power Pivot for Excel, and at Analysis Services developers who want to learn how to build the optimal data model for their reporting needs.

The goal of the video course is to teach through examples of increasing complexity how to solve business scenarios by adapting the data model, so that the required DAX code becomes easier, faster and more robust. All the demos and the exercises are based on Power BI examples. However, the very same concepts can be applied to Power Pivot and Analysis Services Tabular.

The video course is made up of over 10 hours of lectures, plus another estimated 8 hours of individual exercises. You can watch the videos at any time and the system will keep track of your progress. Within the video course you can download the material for all the exercises.

Students have access to a private discussion area where they can interact with the instructors asking questions related to the lectures and the exercises.

Collapse allCurriculum

  • Presentation of Data Modeling for Power BI

    • Presentation of Data Modeling for Power BI
      FREE
  • Exercises, slides, and demos

    • How to download and complete exercises
      FREE
    • Exercises download
    • Demos download
    • Slides of the video course
    • SQL Server Contoso DW database
  • Introduction to data modeling

    • Introduction to data modeling
      FREE
    • Introduction
      FREE
    • Analytical limits
      FREE
    • Increasing the analytical power
      FREE
    • Introducing the data model
      FREE
    • Leveraging the data model
      FREE
    • Normalization and denormalization
    • Facts and dimensions
    • Introducing star schemas
    • If you don't have a star schema
    • Chains of relationships
    • How many dimensions?
    • Why data modeling is useful
    • LAB number 1
  • Header / detail tables

    • Header / detail tables
      FREE
    • Introducing header / detail schemas
    • Bidirectional filtering is not the way to go
    • Header / detail
    • Denormalizing the discount
    • Back to a star schema
    • LAB number 2
  • Multiple fact tables

    • Multiple fact tables
      FREE
    • Using multiple fact tables
    • Moving filters with DAX
    • Building a star schema
    • How to properly use multiple fact tables, if present
    • Trying bidirectional filtering
    • Model ambiguity
    • Solving ambiguity
    • LAB number 3
  • Working with date and time

    • Working with date and time
      FREE
    • Date attributes in the fact table
      FREE
    • Building a date dimension
    • CALENDARAUTO
    • The model with a date dimension
    • Automatic date grouping in Excel and Power BI
    • Automatic date grouping in Power BI
    • Quick calculations in Power BI Desktop
    • Disable automatic date columns
    • Handling multiple dates
      FREE
    • Multiple date tables
      FREE
    • Multiple date tables with multiple fact tables
      FREE
    • Multiple relationships with date
    • Handling date and time
    • Computing with working days
    • Create a holidays table (one country)
    • Create a holidays table (multiple countries)
    • Weekends are not always the same
    • Handling special periods of the year
    • Non-overlapping periods: the model
    • Non-overlapping special periods
    • Overlapping special periods
    • Overlapping period measure
    • LAB number 4
  • Tracking historical attributes

    • Tracking historical attributes
      FREE
    • Attributes change over time
    • Handling variations over time
    • Slowly changing attributes or dimensions?
    • Rapidly changing dimensions
    • Attributes in the fact table
  • Using snapshots

    • Using snapshots
      FREE
    • What is a snapshot?
    • Sales versus inventory in the same model
    • Non-additive measures
    • LASTDATE does not work here
    • Optimizing performance
    • Snapshots and granularity
    • Transition matrix
    • Parameter table
    • LAB number 5
  • Analyzing date and time intervals

    • Analyzing date and time intervals
      FREE
    • What are intervals?
    • Solving with DAX... too complex!
    • Changing granularity
    • Split hours AND amount!
    • Analyzing active events
    • Open orders: the starting model
    • Open orders with DAX
    • Changing the model
    • Open orders is a snapshot table
    • Events with different durations
    • Daily Salary (DAX)
    • Precompute the values
    • LAB number 6
  • Many-to-many relationships

    • Many-to-many relationships
      FREE
    • What are many-to-many relationships?
    • Possible solutions to the scenario
    • Bidirectional filtering
    • Using CROSSFILTER
    • Using expanded table filtering
    • CROSSFILTER versus expanded tables
    • Understanding non-additivity
    • Cascading many-to-many
    • Additional material
    • LAB number 7
  • Working with different granularities

    • Working with different granularities
      FREE
    • Dimensions define granularity
    • Analyzing budget data
    • Reduce granularity on all the tables
    • Using DAX to move the filters
    • Filtering through relationships
    • Use the correct column to slice
    • Leveraging relationships
    • Checking granularity in the report
    • Hiding or reallocating?
    • LAB number 8
  • Segmentation data models

    • Segmentation data models
      FREE
    • Segmentation models
      FREE
    • Static segmentation
      FREE
    • Static segmentation: the formula
      FREE
    • Dynamic segmentation
    • Dynamic segmentation: the formula
    • ABC and Pareto analysis
  • Working with multiple currencies

    • Working with multiple currencies
      FREE
    • Using multiple currencies
    • Beware of simple calculations
    • Multiple sources, one reporting currency
    • Conversion with a calculated column
    • Single source, multiple reporting currencies
    • What the formula should perform
    • Multiple sources, multiple reporting currencies
Student Rating
4.8
205 ratings
5-star Reviews (86 of 104)
  • Mazureyk Albuquerque Temoteo (May 10, 2024)

    O curso é incrível, apesar de eu não ter conseguido entender muito as fórmulas avançadas em DAX. Espero poder fazer o curso de Mastering Dax. Parabéns.

  • Enrique Garzón (Mar 11, 2024)

    The course is excellent. A large compilation of modeling cases and the examples are very varied and educational. I liked the topics covered by the course.

  • Alejandro Alvarado (Feb 27, 2024)

    Great course

  • Vivian Santisteban (Jan 28, 2024)

    Thank you !! Crack de cracks !

  • Elena Slamal (Nov 16, 2023)

    I really enjoyed it - got lots of suggestions and ideas. Thanks!

  • Elena Slamal (Nov 16, 2023)

    Thanks!

  • Chris Mengel (Sep 27, 2023)

    Bravo! Another excellent course! Thanks for all your hard work.

  • Jakub Pałka (Sep 15, 2023)

    Great course for all PowerBI users who wants to expand their knowledge.

  • Thummalacherla Krishnakanth (Aug 13, 2023)

    I recently had the privilege of completing the Data Modeling course on your SQLBI's website, and I must say it was an absolute game-changer for my Power BI journey. As someone with 5 years of experience as a Power BI developer, I thought I had a solid grasp on data modeling, but this course took my understanding to an entirely new level. The course's focus on Power Data Modeling proved to be exactly what I needed to refine and enhance my skills. The content was not only well-structured but also incredibly comprehensive. It covered a wide range of topics that catered to both beginners and seasoned professionals like myself. What truly set this course apart was the practical approach it took. The instructors didn't just throw theoretical concepts; instead, they provided real-world examples and hands-on exercises that allowed me to immediately apply what I was learning. This not only solidified my understanding but also boosted my confidence in tackling complex data modeling challenges. One of the standout features of the course was its emphasis on optimization techniques. The instructors delved deep into performance tuning and best practices, which I found immensely valuable. These insights have already had a noticeable impact on the efficiency and speed of my Power BI projects. Data Modeling course on SQLBI's website is a must for anyone serious about mastering Power Data Modeling, regardless of their experience level. I am truly grateful for the knowledge I've gained and the confidence I've acquired through this course. It has undoubtedly elevated my skills and opened up new doors in my Power BI career. Kudos to the SQLBI team for creating such a remarkable learning resource!

  • VIVIANE PAULUS (Jul 5, 2023)

    Very good to learn modeling.

  • Nagaraja Kammara (Jun 22, 2023)

    Dear Marco Russo & Alberto Ferrari, Thank you Marco Russo & Alberto Ferrari for providing Data Modeling course. I have learnt all the concepts required for data modeling.

  • David Souza Pimentel (Jun 20, 2023)

    I believe it was the best course I've taken since I started studying data analysis.

  • Bhaskaran Kannappan (Jun 6, 2023)

    finw super

  • Yves Brusten (May 28, 2023)

    This is a very nice course : clear, well-paced, eyes-opening, nicely teached and with simple yet powerful examples. I loved it.... Now time to practice :-) Yves

  • Daniel Anastacio (Apr 17, 2023)

    Data Modeling for Power BI has definitely been a great investment in my development as a Power BI Developer. Many of the concepts that I have struggled to understand have come to light with this course, one example being the RELATED and RELATED table functions. Thank you for that. However, I would be lying if I said that I completely understand the problem solving techniques of every single DAX expression provided as examples here in this course. Although I took the time to dissect each DAX formula shown, there were a handful I was not able to grasp on my own. I believe a bit more research and a little more exposure will finally give me the know-how to master not only DAX but also Data Modeling.

Would you prefer a classroom course?

This video course is based on a classroom course we teach all around the world. If you prefer a classroom learning experience, take a look at the dates below for a list of our upcoming classroom courses!
 Amsterdam, NL Jul 2-4, 2024
Amsterdam
 Vancouver, BC, CA Sep 23-25, 2024
Vancouver
 Amsterdam, NL Dec 10-12, 2024
Amsterdam