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Microsoft Certified: Microsoft Power BI Data Analyst (PL-300)

1 Course
2 Labs
4 Hours
Practice exam

As a Power BI data analyst, you work closely with business stakeholders to identify business requirements. You collaborate with analytics engineers and data engineers to identify and acquire data.

This learning path is actively in production. More content will be added to this page as it gets published and becomes available in the library. Planned content includes:

-Prepare the data (video course) -Prepare Data from Multiple Sources and Clean It (hands- on lab)

-Model the data (video course) -Build a Data Model with Relationships and Measures (hands- on lab)

-Visualize and analyze data (video course) -Create an Interactive Report to Uncover Insights

-Manage and secure Power BI (video course) -Implement Static Row-Level Security (RLS) in Power BI Desktop -Microsoft Power BI Data Analyst PL-300 (practice exam)

Content in this path
Path Courses & Labs

This path is designed help you prepare for the PL-300 exam and strengthen your skills in preparing data, modeling data, visualizing and analyzing data, and managing and securing Power BI. Throughout the learning path, we’ll take a good look at the technologies you’ll need to know for the exam and help you not only understand what each service does, but how you can apply the knowledge you gain here in your own environment.

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Certification path

Build confidence to ace your certification exam with a variety of prep tools, including video courses, labs, and practice exams.

What You'll Learn
  • How to prepare the data
  • How to model the data
  • How to visualize and analyze the data
  • How to manage and secure Power BI
Prerequisites
  • Learners should have basic data literacy, experience working with spreadsheets, and introductory familiarity with Power BI Desktop. You should be proficient at using Power Query and Data Analysis Expressions (DAX), with some exposure to SQL or data modeling concepts being helpful but not required.
Related topics
  • Power BI
  • Data Analyst
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