Report Design in Power BI
Continue your data visualization journey where you'll learn practical techniques for incorporating DAX measures and progressive disclosure in your reports.
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Course Description
Continue your data visualization journey with this course on designing reports in Power BI. You'll learn practical techniques for incorporating DAX measures and calculations in your reports—empowering users to filter, highlight values, and group data effectively. Through hands-on exercises, you'll also be introduced to progressive disclosure, a user experience (UX) technique to make reporting easier before discovering how to change report themes and optimize them for mobile users.
- 1
Enhancing the Report
FreeData visualization is about more than choosing the right visual. It's also about having—or forming—data in the right way to tell your story. You’ll learn practical techniques for incorporating DAX measures and calculations in your reports, allowing you to filter, review existing filters, highlight values, and group data effectively.
- 2
Progressive Disclosure
In this chapter, you’ll discover how to apply a UX technique called progressive disclosure. It makes the reporting experience behave more like a web application, by allowing users more control over the visuals.
- 3
Customizing the View
Don't feel limited by Power BI's default theme—make it your own! In this chapter, you’ll learn how to change your theme, where to go to get inspiration, and how you can make your own custom themes.
- 4
Design for Mobile Devices
In this final chapter, you’ll discover ways to optimize your report for mobile users.
In the following tracks
Data AnalystCollaborators
Carl Rosseel
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.
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 (https://curatedsql.com) 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.
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
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