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Intermediate Data Modeling in Power BI

4.6+
17 reviews
Intermediate

Master data modeling in Power BI.

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3 Hours9 Videos24 Exercises
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Course Description

Extend your Data Modelling Skills

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.

Use DAX to Customize your Data 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.
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In the following Tracks

Certification Available

Data Analyst in Power BI

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  1. 1

    Date Dimensions and Relationships

    Free

    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
    Cardinality
    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.

    Play Chapter Now
For Business

GroupTraining 2 or more people?

Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and more

In the following Tracks

Certification Available

Data Analyst in Power BI

Go To Track

Datasets

Exercises and DatasetsDataCamp vs. Local Experience

Collaborators

Collaborator's avatar
Nina Spreitzer
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Kevin Feasel
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Carl Rosseel
Sara Billen HeadshotSara Billen

Data Scientist 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 at DataCamp.
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Maarten Van den Broeck HeadshotMaarten Van den Broeck

Senior Content Developer at DataCamp

Maarten is an aquatic ecologist and teacher by training and a data scientist by profession. He is also a certified Power BI and Tableau data analyst. After his career as a PhD 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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Don’t just take our word for it

*4.6
from 17 reviews
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  • Edmundo M.
    about 2 months

    The modeling of dimensions and fact tables of this fictitious tech company is very helpful on practicing and developing skills in two aspects: 1) Modeling different tables with inactive relationships, and 2) Creating measures using inactive relationships and challenging your thinking on different measures for employee´s attrition analysis. As a bonus, the exercise on intermediate data modeling gives an introduction on how to improve the aesthetic of the different pages of the report, including a practical navigational set of buttons to move around all the pages.

  • Nicolas F.
    2 months

    This course helps you boost efficiency and data quality by showing key techniques such as date tables and other data modeling techniques to improve your analyses.

  • MOKONIU L.
    5 months

    A great course giving information that I will definitely use. Easy to follow and learn from

  • César G.
    6 months

    Data Modeling in Power BI

  • scott w.
    8 months

    It is a nice balance of watching and doing

"This course helps you boost efficiency and data quality by showing key techniques such as date tables and other data modeling techniques to improve your analyses."

Nicolas F.

"A great course giving information that I will definitely use. Easy to follow and learn from"

MOKONIU L.

"Data Modeling in Power BI"

César G.

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