PL-300: Microsoft Power BI Data Analyst
Overview
The PL-300 certification is designed for data professionals and business analysts who want to
gain deep expertise in Power BI to drive business decisions through data. This course teaches
participants how to connect, transform, model, visualize, and analyze data using Power BI’s
powerful analytics platform.
Aligned to the official Microsoft PL-300 exam, this training is ideal for individuals aiming to become data analysts, reporting professionals, or Power BI specialists.
Aligned to the official Microsoft PL-300 exam, this training is ideal for individuals aiming to become data analysts, reporting professionals, or Power BI specialists.
What You’ll Learn
By the end of this course, participants will be able to:
- Prepare, clean, and transform data from multiple sources
- Build data models and define relationships, hierarchies, and calculations using DAX
- Design and create visually compelling dashboards and reports
- Analyze data to uncover trends and insights
- Configure role-based security and manage workspaces in Power BI Service
- Publish, share, and collaborate on Power BI content securely
Prerequisites
- Experience with Excel, data modeling, or databases is recommended
- Familiarity with cloud concepts and Microsoft 365 is helpful
- No prior Power BI experience required, but PL-900 is recommended for absolute
beginners
Course Content Outline
1. Prepare the Data
- Identify and connect to data sources
- Clean, transform, and load data using Power Query
- Profile and inspect data for inconsistencies
- Implement transformations using the Power Query Editor
2. Model the Data
- Design and develop data models
- Define and manage relationships
- Create calculated columns, measures, and KPIs using DAX
- Optimize data models for performance and scalability
3. Visualize and Analyze the Data
- Create reports using different types of visuals
- Design dashboards that tell a compelling data story
- Apply filters, slicers, and drill-through actions
- Use AI visuals and advanced analytics capabilities
- Implement time-based analysis (YTD, QoQ, YoY, etc.)
4. Deploy and Maintain Assets
- Manage datasets, reports, and dashboards in Power BI Service
- Schedule data refreshes and manage data gateways
- Configure row-level security (RLS)
- Publish and share reports with different audiences
- Collaborate using Microsoft Teams and Power BI apps