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DataCamp

Data Modeling in Power BI

via DataCamp

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Overview

Learn the key concepts of data modeling on Power BI.


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, and discover the foundations of data modeling by going into star and snowflake schemas. You'll apply all of this to real-world datasets issued by the United States Census Bureau.

Syllabus

  • Defining Tables
    • 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.
  • Shaping Tables
    • In this chapter, we continue comparing Power Query and Power BI practices. Later, you will exercise combining tables and column extraction on Power BI.
  • 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.
  • Star and Snowflake schemas
    • In this final chapter, you'll continue with an extension of the star schema: the snowflake schema. Lastly, you will have your first practice with performance analyzer in Power BI.

Taught by

Maarten Van den Broeck and Sara Billen

Reviews

4.7 rating at DataCamp based on 59 ratings

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