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Intermediate Data Modeling in Power BI

Master data modeling in Power BI.

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3 Hours9 Videos24 Exercises2,946 Learners1850 XPData Analyst Track

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Course Description

In this course, you’ll extend your knowledge about facts, dimensions, and their relationships. You learn about the cardinality of relationships and how you can use bi-directional cross-filtering in your model. You’ll also explore the use of quick measures and hierarchies and write DAX to fully customize your data model. Finally, you’ll get introduced to Power BI reporting best practices to improve the performance of your reports.

  1. 1

    Date Dimensions and Relationships


    In the first chapter, you'll extend your data modeling skills by adding more tables and relationships.

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    Date dimensions and relationships
    50 xp
    50 xp
    Date dimensions and relationships in Power BI
    50 xp
    Create a year dimension
    100 xp
    Extend the year dimension
    100 xp
    Composite key relationships
    100 xp
  2. 2

    Granularity, Measures, and Hierarchies

    You'll learn how to use hierarchies and explore several granularity levels of your data.

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  3. 3

    Advanced Data Modeling

    In this 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.

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In the following tracks

Data Analyst


feaselklKevin Feaselcarlrosseel-73112126-9ed2-4866-942a-96fbf265b088Carl RosseelninaspreitzerNina Spreitzer
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. In his spare time, he runs a symphonic orchestra.
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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