Data Modeling in Power BI

Learn the key concepts of data modeling on Power BI.

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4 Hours17 Videos49 Exercises4,274 Learners
3850 XP

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Course Description

Proper data modeling is the foundation of data analysis and creating reports in Power BI. This course lets you explore a toolbox of data cleaning, shaping, and loading techniques, which you can apply to your data. You'll get to know how to choose between Power Query and Power BI, learn about facts, dimensions, and their relationships, explore the use of quick measures and hierarchies, and write DAX to fully customize your data model. Some best practices are also discussed to improve the performance of your reports. You'll apply all of this on real-world datasets, issued by the United States Census Bureau.

  1. 1

    Defining Tables

    Free

    Proper data analysis relies on proper data modeling. This first chapter covers the basic concepts and teaches you how to set up and load data from multiple sources, using both Power BI and Power Query.

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    Data modeling and table properties
    50 xp
    Power Query vs. Power BI
    50 xp
    Load and transform data
    50 xp
    Loading a CSV
    100 xp
    Rounding, replacement, and sorting
    100 xp
    Data categorization and visibility
    100 xp
    Working with string columns
    100 xp
    Shaping tables
    50 xp
    Power Query vs. Power BI again
    100 xp
    Merging and appending queries
    50 xp
    Breaking a file into multiple tables
    100 xp
    Appending files
    100 xp
    Column extraction
    100 xp
  2. 2

    Dimensional Modeling

    In this chapter, you'll learn more about one of the most popular approaches to data modeling. You'll get familiar with the basic building blocks of the dimensional model; facts, dimensions, and star schemas. Afterwards, you'll continue with an extension of the star schema: the snowflake schema.

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  3. 4

    Advanced Data Modeling

    In this final chapter, you'll look at some advanced data modeling techniques. You'll learn how and when to use bi-directional cross filters and role-playing dimensions. To complete the course, you'll study performance optimization tips and tricks in Power BI.

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Datasets

Datasets Chapter 1Datasets Chapter 2Datasets Chapter 3Datasets Chapter 4Report Files

Collaborators

Kevin FeaselLis SulmontCarl Rosseel
Maarten Van den Broeck Headshot

Maarten Van den Broeck

Content Developer at DataCamp

Maarten is an aquatic ecologist and teacher by training and a data scientist by profession. After his career as a Ph.D. researcher at KU Leuven, he wished that he had discovered DataCamp sooner. He loves to combine education and data science to develop DataCamp courses.
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Sara Billen Headshot

Sara Billen

Curriculum Manager at DataCamp

Sara is a graduate of a master's degree in Business Engineering and Marketing Analysis. Prior to working at DataCamp she worked as a Data Science consultant for a Belgian IT company. Sara is passionate about education, data science, and business and loves that she is able to combine all of these disciplines in her job as curriculum manager at DataCamp.
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What do other learners have to say?

I've used other sites—Coursera, Udacity, things like that—but DataCamp's been the one that I've stuck with.

Devon Edwards Joseph
Lloyds Banking Group

DataCamp is the top resource I recommend for learning data science.

Louis Maiden
Harvard Business School

DataCamp is by far my favorite website to learn from.

Ronald Bowers
Decision Science Analytics, USAA