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User-Oriented Design in Power BI

Learn how to design Power BI visualizations and reports with users in mind.

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3 Hours9 Videos26 Exercises2,817 Learners2100 XPData Analyst Track

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Course Description

In this course you learn how to design with users in mind. You’ll also learn to use R and Python to create unique visualizations, adding custom chart types that would otherwise not be available in Power BI. You’ll get introduced to some best practices in data visualization and optimize your visualizations to be more accessible to visually impaired individuals. This course also teaches you how to create paginated reports, a prerequisite for the official PL-300 exam!
  1. 1

    Design with Users in Mind

    Free

    In this chapter you will design a layout using focal points to guide users naturally between visuals. You'll apply your new inclusive skills to a real-world dataset, tracing the changing rate of consumer product inflation.

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    Tracking focal points
    50 xp
    Why focal points
    50 xp
    Maps and external scripts
    50 xp
    Creating a map
    100 xp
    Scripting with Python
    100 xp
    Using focal points
    100 xp
  2. 2

    Designing for Accessibility

    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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  3. 3

    Completing the Report

    Let’s get ready for production! In the third chapter, you'll learn how to automatically and optimize refresh data.

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  4. 4

    Paginated Reports

    Let’s get ready for production! In this final chapter, you'll learn when you should (and shouldn’t) create paginated reports.

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In the following tracks

Data Analyst

Collaborators

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Kevin Feasel
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Carl Rosseel
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Azat Saskal
Maarten Van den Broeck Headshot

Maarten 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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