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Course Outline

Overview of the Microsoft Power Platform

  • Introduction to Power BI, Power Apps, Power Automate, and Power Virtual Agents
  • Integration capabilities between Microsoft 365 and the Power Platform
  • Exploring the business impact of low-code development

Initiating Work with Power BI

  • Setup and configuration of Power BI Desktop
  • Establishing connections to diverse data sources (Excel, databases, cloud services)
  • Data cleaning and transformation techniques using Power Query

Data Modeling and Relationships in Power BI

  • Conceptualizing data models and entity relationships
  • Leveraging DAX (Data Analysis Expressions) for computational tasks
  • Constructing hierarchies and defining measures

Visualizing Data and Building Dashboards

  • Crafting effective, interactive dashboard experiences
  • Utilizing visual components: charts, maps, slicers, and tables
  • Implementing filters, drill-through capabilities, and conditional formatting

Introduction to Power Apps

  • Navigating the Power Apps environment
  • Developing canvas and model-driven applications
  • Designing intuitive user interfaces and layouts

Linking Power Apps to Data Sources

  • Leveraging Dataverse, SharePoint, and Excel as underlying data sources
  • Constructing forms, galleries, and data cards
  • Implementing business logic through formulas and actions

Automation and System Integration

  • Orchestrating workflows using Power Automate alongside Power Apps and Power BI
  • Configuring triggers and automated workflow processes
  • Applying real-world automation scenarios: approvals, notifications, and data updates

Deployment, Collaboration, and Security

  • Publishing dashboards and applications for organizational use
  • Administering permissions, environments, and data governance standards
  • Best practices for ongoing maintenance and solution updates

Recap and Future Directions

Requirements

  • Familiarity with data handling and reporting processes
  • Basic knowledge of Microsoft Excel or comparable spreadsheet applications

Target Audience

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

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