PL-300: Microsoft Power BI Data Analyst
Course Overview
Master the skills to transform data into actionable insights with PL-300: Microsoft Power BI Data Analyst. This instructor-led course empowers business professionals and data analysts to confidently use Power BI to model, visualize, and analyze data to drive informed decision-making. Participants will learn to connect to diverse data sources, clean and shape data, build robust data models, create interactive reports and dashboards, and deploy enterprise-level Power BI solutions.
Designed with a blend of strategic business insight and technical hands-on training, this course provides the critical capabilities required to pass the PL-300 Microsoft certification exam and excel in modern data roles.
Audience Profile
This course is ideal for:
Data professionals and business analysts who want to use Power BI for data visualization and reporting
Professionals preparing for the Microsoft Certified: Power BI Data Analyst Associate certification
Teams responsible for delivering data-driven insights within organizations using Power BI in Microsoft 365 and Azure environments
Anyone interested in data modeling, report building, and Power BI service administration
Participants should be familiar with basic data concepts, Excel, and Microsoft cloud tools.
Course Outline
1. Get Started with Microsoft Data Analytics
Role of a data analyst in the Microsoft data ecosystem
Key Power BI components and capabilities
Introduction to Microsoft Fabric and its relevance to Power BI workflows
2. Prepare Data for Analysis in Power BI
Identifying and connecting to data sources
Cleaning, transforming, and loading data with Power Query
Profiling and understanding data structure for analytics
3. Model Data in Power BI
Designing and implementing a data model
Defining relationships and hierarchies
Creating calculated tables, columns, and measures using DAX (Data Analysis Expressions)
Optimizing models for performance and usability
4. Visualize Data in Power BI
Selecting appropriate visuals for data storytelling
Designing and formatting reports
Applying filters, slicers, bookmarks, and drillthrough
Building interactive dashboards with responsive design
5. Analyze Data for Insights
Enhancing reports with advanced analytics features
Using Q&A, insights, and key influencers
Applying time intelligence and trend analysis
6. Manage Workspaces and Datasets in the Power BI Service
Publishing and sharing reports in the Power BI Service
Configuring datasets and dataflows
Implementing row-level security and report usage tracking
Managing workspaces, data refreshes, and user roles
7. Explore Real-Time Data and Power BI Integration
Setting up real-time dashboards with streaming datasets
Integrating Power BI with Microsoft Teams, Excel, and Power Platform
Leveraging Power BI with Azure Synapse Analytics and Microsoft Fabric
Course Format and Hands-On Experience
This course is 40% to 50% hands-on, with real-world exercises that simulate business scenarios. Learners will gain practical experience designing data models, building reports, and managing Power BI deployments—ensuring they’re fully prepared for the PL-300 exam and real-world use.
Hands-On Labs
This course includes practical, hands-on laboratory exercises to reinforce your learning:
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