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Microsoft Power BI: Data Analysis Professional

MSO140

Course Description

As technology progresses and becomes more interwoven with our businesses and lives, more data is collected about business and personal activities. This era of "big data" is a direct result of the popularity and growth of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantages.

Microsoft Power BI: Data Analysis Professional Dec 2025

Microsoft Power BI: Data Analysis Professional

Lesson 1: Analyzing Data with Self-Service BITopic A: Data Analysis and Visualization for Business IntelligenceTopic B: Self-Service BI with Microsoft Power BI
Topic A: Data Analysis and Visualization for Business Intelligence
Topic B: Self-Service BI with Microsoft Power BI
Lesson 2: Connecting to Data SourcesTopic A: Create Data ConnectionsTopic B: Configure and Manage Data RelationshipsTopic C: Save Files in Power BI
Topic A: Create Data Connections
Topic B: Configure and Manage Data Relationships
Topic C: Save Files in Power BI
Lesson 3: Performing Data Cleaning, Profiling, and ShapingTopic A: Clean, Transform, and Load Data with the Query EditorTopic B: Profile Data with the Query EditorTopic C: Shape Data with the Query EditorTopic D: Combine and Manage Data Rows
Topic A: Clean, Transform, and Load Data with the Query Editor
Topic B: Profile Data with the Query Editor
Topic C: Shape Data with the Query Editor
Topic D: Combine and Manage Data Rows
Lesson 4: Visualizing Data with Power BITopic A: Create Visualizations in Power BITopic B: Chart Data in Power BI
Topic A: Create Visualizations in Power BI
Topic B: Chart Data in Power BI
Lesson 5: Enhancing Data AnalysisTopic A: Customize Visuals and PagesTopic B: Incorporate Tooltips
Topic A: Customize Visuals and Pages
Topic B: Incorporate Tooltips
Lesson 6: Modeling Data with CalculationsTopic A: Create Calculations with Data Analysis Expressions (DAX)Topic B: Create Calculated Measures and Conditional Columns
Topic A: Create Calculations with Data Analysis Expressions (DAX)
Topic B: Create Calculated Measures and Conditional Columns
Lesson 7: Creating Interactive VisualizationsTopic A: Create and Manage Data HierarchiesTopic B: Filter and Slice ReportsTopic C: Create Dashboards
Topic A: Create and Manage Data Hierarchies
Topic B: Filter and Slice Reports
Topic C: Create Dashboards
Lesson 8: Using Advanced Analysis TechniquesTopic A: Create Calculated Tables, Variables, and ParametersTopic B: Enhance Visuals with Statistical AnalysisTopic C: Perform Advanced Analysis
Topic A: Create Calculated Tables, Variables, and Parameters
Topic B: Enhance Visuals with Statistical Analysis
Topic C: Perform Advanced Analysis
Lesson 9: Enhancing Reports and DashboardsTopic A: Enhance ReportsTopic B: Enhance Dashboards
Topic A: Enhance Reports
Topic B: Enhance Dashboards
Lesson 10: Publishing and Sharing Reports and DashboardsTopic A: Publish ReportsTopic B: Create and Manage WorkspacesTopic C: Share Reports and Dashboards
Topic A: Publish Reports
Topic B: Create and Manage Workspaces
Topic C: Share Reports and Dashboards
Lesson 11: Extending Power BI Beyond the DesktopTopic A: Use Power BI MobileTopic B: Extend Access with the Power BI API
Topic A: Use Power BI Mobile
Topic B: Extend Access with the Power BI API

Learner Outcomes
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.
Perform advanced analysis.
Publish and share reports and dashboards.
Extend access to Power BI.

Night

$2,29500

  • Date
  • Days of the Week
  • Time
  • Duration
  • Hours/CEUs
  • Apr 06 - Apr 22, 2026
  • Mon,Wed
  • 5:30 PM - 8:30 PM (CST)
  • 6 Nights
  • 18 hours / 1.8 CEUs
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Night

$2,29500

  • Date
  • Days of the Week
  • Time
  • Duration
  • Hours/CEUs
  • Aug 18 - Sep 03, 2026
  • Tue,Thu
  • 5:30 PM - 8:30 PM (CST)
  • 6 Nights
  • 18 hours / 1.8 CEUs
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