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Course Outline

Overview of the Microsoft Power Platform

  • Introduction to Power BI, Power Apps, Power Automate, and Power Virtual Agents
  • Exploring integration points between Microsoft 365 and the Power Platform
  • Understanding the strategic business value of low-code development

Foundations of Power BI

  • Setting up and configuring Power BI Desktop
  • Connecting to diverse data sources such as Excel, databases, and cloud services
  • Cleaning and transforming data with Power Query

Data Modeling and Relationships in Power BI

  • Grasping data models and entity relationships
  • Utilizing DAX (Data Analysis Expressions) for complex calculations
  • Constructing hierarchies and defining measures

Visualizing Data and Building Dashboards

  • Designing impactful and interactive dashboards
  • Leveraging visual components like charts, maps, slicers, and tables
  • Implementing filters, drill-through navigation, and conditional formatting

Introduction to Power Apps

  • Navigating the Power Apps development environment
  • Building both canvas and model-driven applications
  • Crafting user-friendly interfaces and layouts

Integrating Power Apps with Data Sources

  • Utilizing Dataverse, SharePoint, and Excel as underlying data sources
  • Developing forms, galleries, and data cards
  • Implementing logic through formulas and actions

Automation and System Integration

  • Combining Power Automate with Power Apps and Power BI
  • Configuring triggers and automated workflows
  • Real-world automation scenarios: handling approvals, sending notifications, and managing updates

Deployment, Sharing, and Security

  • Publishing dashboards and apps for organizational use
  • Managing permissions, environments, and data governance standards
  • Adopting best practices for solution maintenance and updates

Summary and Future Directions

Requirements

  • A solid grasp of data management and reporting processes
  • Basic proficiency with Microsoft Excel or comparable spreadsheet tools

Target Audience

  • Business analysts
  • Data professionals
  • Managers and key decision-makers
  • Process automation specialists
 21 Hours

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