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 Duration 21 hours

Course Outline

Overview of the Microsoft Power Platform

  • Introduction to Power BI, Power Apps, Power Automate, and Power Virtual Agents
  • Synergy between Microsoft 365 and the Power Platform
  • The strategic business impact of low-code development

Initiating Work with Power BI

  • Setup and configuration of Power BI Desktop
  • Establishing connections to diverse data sources, including Excel, databases, and cloud services
  • Refining and transforming data via Power Query

Power BI Data Modeling and Relationships

  • Grasping the structure of data models and inter-entity relationships
  • Leveraging DAX (Data Analysis Expressions) for complex calculations
  • Constructing hierarchies and defining measures

Visualizing Data Through Dashboards

  • Architecting effective, interactive dashboard layouts
  • Employing visual components such as charts, maps, slicers, and tables
  • Implementing filters, drill-through capabilities, and conditional formatting

Introduction to Power Apps

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

Integrating Power Apps with Data Sources

  • Utilizing Dataverse, SharePoint, and Excel as primary data repositories
  • Developing forms, galleries, and data cards
  • Implementing business logic through formulas and actions

Automation and System Integration

  • Orchestration of Power Automate alongside Power Apps and Power BI
  • Configuration of triggers and automated workflow processes
  • Practical automation scenarios, including approvals, notifications, and data updates

Deployment, Collaboration, and Security

  • Publishing dashboards and applications for organizational use
  • Administration of permissions, environments, and data governance policies
  • Best practices for ongoing solution maintenance and updates

Conclusion and Future Directions

Requirements

  • Foundational knowledge of data handling and reporting workflows
  • Basic proficiency with Microsoft Excel or comparable spreadsheet software

Target Audience

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

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