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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

Initial Setup with Power BI

  • Setup and configuration of Power BI Desktop
  • Establishing connections to diverse data sources (Excel, databases, cloud services)
  • Data refinement and modification via Power Query

Data Modeling and Interconnections in Power BI

  • Grasping data structures and entity relationships
  • Implementing DAX (Data Analysis Expressions) for complex calculations
  • Formulating hierarchies and defining measures

Visualizing Data and Building Dashboards

  • Crafting compelling and interactive dashboard layouts
  • Leveraging visual components: charts, maps, slicers, and tables
  • Utilizing filters, drill-through capabilities, and conditional formatting

Fundamentals of Power Apps

  • Navigating the Power Apps workspace
  • Developing both canvas-based and model-driven applications
  • Structuring user interfaces and layout designs

Integrating Power Apps with Data Sources

  • Leveraging Dataverse, SharePoint, and Excel as underlying data repositories
  • Constructing forms, galleries, and data card elements
  • Implementing logic through formulas and actions

Automation and System Integration

  • Collaborating Power Automate with Power Apps and Power BI
  • Configuring triggers and automated process flows
  • Practical automation scenarios: approval chains, notifications, and data synchronization

Deployment, Collaboration, and Security

  • Distributing dashboards and apps across the organization
  • Overseeing permissions, environments, and data governance policies
  • Industry best practices for solution maintenance and updates

Recap and Future Directions

Requirements

  • Foundational knowledge of data management and reporting procedures
  • Basic proficiency with Microsoft Excel or comparable spreadsheet applications

Target Audience

  • Business analysts
  • Data specialists
  • Senior managers and strategic decision-makers
  • Workflow automation experts

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