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Data Visualization in Power BI

Power BI is a powerful data visualization tool that can be used in reports and dashboards.

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6 Hours17 Videos52 Exercises
4300 XP

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Course Description

Power BI has extraordinary visuals that can be used in reports and dashboards. In this Power BI course, you’ll learn how to create insightful visualizations through built-in and customized charts, and conditional formatting. You’ll also learn how to use R and Python to create unique visualizations, adding custom chart types that would otherwise not be available in Power BI. Finally, you’ll get introduced to some best practices in data visualization and optimize your visualizations to be more accessible to visually impaired individuals. By the end of this Power BI visualization course, you’ll be up to speed on the “Create reports” part of Power BI’s Exam DA-100 certification.

  1. 1

    The Audience is King


    ​​In this first chapter, you'll get to understand your audience and learn how to build dashboards that connect on an emotional level—so they won't get forgotten about. You'll also get introduced to Lahman's baseball dataset, which you’ll use in this and the second chapter.

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    Know your audience
    50 xp
    Dashboard or report?
    100 xp
    Tables and scatter charts
    50 xp
    Add a table and slicer
    100 xp
    Create a scatter plot
    100 xp
    Create a bubble chart
    100 xp
    Getting an emotional response
    50 xp
    Factors for evoking emotion
    100 xp
    Bar charts and small multiples
    50 xp
    Create a bar chart
    100 xp
    Format a visual
    100 xp
    Stacking errors by position
    100 xp
    Using small multiples
    100 xp
  2. 3

    Design with Users in Mind

    This chapter focuses on accessibility and how you can optimize your interactive dashboards for users with disabilities such as color vision deficiency. You'll apply your new inclusive skills to a real-world dataset, tracing the changing rate of consumer product inflation.

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Exercises and Datasources


Carl 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. In his spare time, he runs a symphonic orchestra.
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Kevin Feasel Headshot

Kevin Feasel

CTO, Envizage

Kevin is a Microsoft Data Platform MVP and CTO at Envizage, where he specializes in data analytics with T-SQL and R, forcing Spark clusters to do his bidding, fighting with Kafka, and pulling rabbits out of hats on demand. He is the lead contributor to Curated SQL ( and author of PolyBase Revealed (forthcoming). A resident of Durham, North Carolina, he can be found cycling the trails along the triangle whenever the weather's nice enough.
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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