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Creating data-backed visualizations is key for data scientists, or any professional, to explore, analyze, and report insights and trends from data. Microsoft® Power BI® software is designed for this purpose. Power BI was built to connect to a wide range of data sources, and it enables users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Power BI's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, enabling users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action.

Power BI Data Analysis and Reporting

  • Analyze data and create reports with Power BI.
  • Connect to data.
  • Perform data cleaning, profiling, and shaping.
  • Visualize data with Power BI.
  • Enhance data analysis by adding and customizing visual elements.
  • Model data with calculations.
  • Customize and filter visualizations.
  • Use advanced analysis techniques.
  • Share reports and create dashboards in the Power BI Service.
  • Manage and collaborate in the Power BI Service.
  • Enhance reports and dashboards.
Virtual Instructor-Led Training 3 days / 24 hours

Upcoming Schedules

Date Time Enroll
Sep 14 - Sep 16, 2026 9:00 AM - 5:00 PM America/New_York Add To Cart
Nov 11 - Nov 13, 2026 9:00 AM - 5:00 PM America/New_York Add To Cart
Jan 11 - Jan 13, 2027 9:00 AM - 5:00 PM America/New_York Add To Cart

Who should attend Microsoft Power BI Data Analysis Professional 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 services to perform numerical or general data analysis. They are responsible for connecting to cloud-based data sources, as well as shaping and combining data for the purpose of analysis. They are also 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. This course is also designed for professionals who want to pursue the Microsoft Power BI Data Analyst (Exam PL-300) certification.


Prerequisites for Microsoft Power BI Data Analysis Professional Course

To ensure your success, you should have experience managing data with a spreadsheet program such as Microsoft Excel. Optionally, having experience with other data analytics tools, such as Google Analytics™ or Customer Relationship Management (CRM) systems such as Salesforce®, as well as a knowledge of database design concepts and basic programming constructs such as looping and branching, will help you get even more out of this course.

Microsoft Power BI Data Analysis Professional 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
  • Secure and Troubleshoot Connections
  • 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
  • Create Visualizations with Power BI
  • Select Visualization Types with Power BI
  • Customize Visuals and Pages
  • Incorporate Tooltips in Visualizations
  • Create Calculated Columns with DAX
  • Create Calculated Measures and Conditional Columns
  • Create Data Hierarchies
  • Filter Reports
  • Discover Time-Intelligence Insights
  • Configure Slicers for Interactive Filtering
  • Create Calculated Tables, Variables, and Parameters
  • Perform Statistical Analysis
  • Analyze Data with Advanced Power BI Features
  • Publish and Explore Reports in the Power BI Service
  • Create Dashboards
  • Add Q&A to Dashboards
  • Manage Workspaces and Share Content
  • Collaborate with the Power BI Service
  • Optimize Usability and Performance
  • Create Mobile Reports for Power BI

Resources

FAQs on Microsoft Power BI Data Analysis Professional

Professionals currently using tools like Excel or SQL Server Reporting Services for data analysis, who need to connect to cloud data sources, shape and combine data, and share insights across their organization. It’s also ideal for those pursuing the Microsoft Power BI Data Analyst (PL-300) certification.

Experience managing data with a spreadsheet program like Microsoft Excel is required. Familiarity with other analytics tools (e.g., Google Analytics, Salesforce), database design concepts, and basic programming constructs such as looping and branching is helpful but optional.

You’ll learn to connect to and clean data, create visualizations, model data with DAX calculations, apply advanced analysis techniques, and share reports and dashboards through the Power BI Service.

Yes, this course is designed to help prepare professionals for the Microsoft Power BI Data Analyst (Exam PL-300) certification.

Topics include connecting to data sources, data cleaning and transformation, creating and customizing visualizations, modeling data with calculations, filtering reports, advanced analysis techniques, and collaborating through dashboards in the Power BI Service.