Analyze data with self-service BI.
Connect to data sources.
Perform advanced data modeling and shaping.
Visualize data with Power BI.
Enhance data analysis.
Model data with calculations.
Create interactive visualizations.
Upcoming Schedules
| Date | Time | Enroll |
|---|---|---|
| Aug 20 - Aug 21, 2026 | 9:00 AM - 5:00 PM America/New_York | Add To Cart |
| Sep 24 - Sep 25, 2026 | 9:00 AM - 5:00 PM America/New_York | Add To Cart |
| Nov 02 - Nov 03, 2026 | 8:00 AM - 4:00 PM America/New_York | Add To Cart |
| Dec 07 - Dec 08, 2026 | 9:00 AM - 5:00 PM America/New_York | Add To Cart |
Who should attend Microsoft Power BI – Data Analysis Practitioner Course
This course is designed for professionals in a variety of job roles who are currently using desktop or web-based data-management tools such as Microsoft Excel or SQL Server reporting server to perform numerical or general data analysis. They are responsible for conducting data analysis and providing reports about their analysis, and are looking for alternative ways to analyze business data, visualize insights, and share those insights with peers across the enterprise. This includes capturing and reporting on data to peers, executives, and clients.
Prerequisites for Microsoft Power BI – Data Analysis Practitioner Course
Microsoft Power BI – Data Analysis Practitioner Course Outline
- Data Analysis and Visualization for Business Intelligence
- Interact with Reports in Power BI
- Connecting to Data
- Create Data Source Connections
- Configure and Manage Relationships
- Save Files in Power BI
- Cleaning, Transforming, and Loading Data
- Load, Clean, and Shape Data with the Query Editor
- Profile Data with the Query Editor
- Shape Data with the Query Editor
- Transform Data with the Query Editor
- Visualizing Data with Power BI
- Create Visualizations with Power BI
- Select Visualization Types with Power BI
- Enhancing Visuals for Data Analysis
- Customize Visuals and Pages
- Incorporate Tooltips in Visualizations
- Customizing and Filtering Reports
- Create Data Hierarchies
- Filter Reports
- Configure Slicers for Interactive Filtering
- Sharing Reports and Creating Dashboards in the Power BI Service
- Publish and Explore Reports in the Power BI Service
- Create Dashboards
- Add Q&A to Dashboards
Resources
FAQs on Microsoft Power BI – Data Analysis Practitioner
Professionals who currently use tools like Microsoft Excel or SQL Server Reporting Services for data analysis and want to explore self-service BI tools to analyze, visualize, and share business data insights across their organization.
Participants should have completed Excel Part 1 & Part 2 and Data Analysis with Power Pivot, or have equivalent experience with data analysis and spreadsheet tools.
You will learn to connect to various data sources, clean and shape data, create interactive visualizations, build data models with calculations, and publish reports and dashboards using Power BI.
Yes, the course includes a module on publishing and exploring reports in the Power BI Service, creating dashboards, and adding Q&A features for interactive data exploration and collaboration.
The course covers loading, cleaning, and shaping data using the Query Editor, profiling and transforming data, configuring relationships between data sources, and creating data hierarchies for advanced modeling.


