70-778: Analyzing and Visualizing Data with Microsoft Power BI

Data professionals capture and analyze exponential amounts of data

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Data professional that knows the business value of data management

Data professionals capture and analyze exponential amounts of data to find insights and to solve meaningful business problems.


Who takes this course

IT professionals who want to upskill in Azure




Exam that evaluates skills to implement infrastructure solutions in Azure and the ability to implement and monitor cloud and hybrid solutions, as well as supporting application lifecycle management.


70-778 Analyzing and Visualizing Data with Microsoft Power BI

Completion time

12-24 hours


Analyzing and Visualizing Data with Power BI


12-24 hours

About this course

Power BI is quickly gaining popularity among professionals in data science as a cloud-based service that helps them easily visualize and share insights from their organizations’ data.

In this data science course, you will learn from the Power BI product team at Microsoft with a series of short, lecture-based videos, complete with demos, quizzes, and hands-on labs. You’ll walk through Power BI, end to end, starting from how to connect to and import your data, author reports using Power BI Desktop, and publish those reports to the Power BI service. Plus, learn to create dashboards and share with business users—on the web and on mobile devices.

edX offers financial assistance for learners who want to earn Verified Certificates but who may not be able to pay the fee. To apply for financial assistance, enroll in the course, then follow this link to complete an application for assistance.

What you’ll learn

  • Connect, import, shape, and transform data for business intelligence (BI)
  • Visualize data, author reports, and schedule automated refresh of your reports
  • Create and share dashboards based on reports in Power BI desktop and Excel
  • Use natural language queries
  • Create real-time dashboards


  • Some experience in working with data from Excel, databases, or text files.

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