Microsoft Certified Power BI Data Analyst (PL-300)
Microsoft Certified Power BI Data Analyst (PL-300)
Overview
As a candidate for this certification, you should deliver actionable insights by working with available data and applying domain expertise. You should:
-
Provide meaningful business value through easy-to-comprehend data visualizations.
-
Enable others to perform self-service analytics.
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. You use Power BI to:
- Prepare the data
- Model the data
- Visualize and analyze data
- Manage and secure Power BI
You should be proficient at using Power Query and Data Analysis Expressions (DAX).
Global Exam
You will have 100 minutes to complete this assessment.
Exam Policy
This exam will be proctored. You may have interactive components to complete as part of this exam. To learn more about exam duration and experience, visit: Exam duration and exam experience.
If you fail a certification exam, don’t worry. You can retake it 24 hours after the first attempt. For subsequent retakes, the amount of time varies. For full details, visit: Exam retake policy.
Assessed on this exam
- Prepare the data
- Model the data
- Visualize and analyze the data
- Manage and secure Power BI
All Courses Idea
Skills at a glance
- Prepare the data (25–30%)
- Model the data (25–30%)
- Visualize and analyze the data (25–30%)
- Manage and secure Power BI (15–20%)
Prepare the data (25–30%)
- Get or connect to data
- Profile and clean the data
- Transform and load the data
Model the data (25–30%)
- Design and implement a data model
- Create model calculations by using DAX
- Optimize model performance
Visualize and analyze the data (25–30%)
- Create reports
- Enhance reports for usability and storytelling
- Identify patterns and trends
Manage and secure Power BI (15–20%)
- Create and manage workspaces and assets
- Secure and govern Power BI items
Please click here for the content details
Concept of SQL Query, basic Python programming and Data analysis
