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Course Outline

Foundations of the Microsoft Power Platform

  • An overview of Power BI, Power Apps, Power Automate, and Power Virtual Agents
  • Synergy between Microsoft 365 and the Power Platform
  • Grasping the business advantages of low-code development

Initial Steps with Power BI

  • Setup and configuration of Power BI Desktop
  • Establishing connections to diverse data sources including Excel, databases, and cloud services
  • Data purification and processing techniques via Power Query

Building Data Models and Defining Relationships in Power BI

  • Conceptualizing data structures and inter-table relationships
  • Performing calculations using DAX (Data Analysis Expressions)
  • Constructing hierarchies and defining measures

Visualizing Data through Dashboards

  • Crafting intuitive and interactive dashboard designs
  • Utilizing visual components such as charts, maps, slicers, and tables
  • Implementing filters, drill-through capabilities, and conditional formatting

Getting Acquainted with Power Apps

  • Exploring the Power Apps development environment
  • Building both canvas and model-driven applications
  • Structuring user interfaces and layout arrangements

Linking Power Apps to External Data

  • Utilizing Dataverse, SharePoint, and Excel as underlying data stores
  • Constructing forms, galleries, and data cards
  • Developing application logic through formulas and actions

Achieving Automation and System Integration

  • Combining Power Automate with Power Apps and Power BI
  • Configuring triggers and automated process flows
  • Real-world automation scenarios including approvals, alerts, and data updates

Deployment, Collaboration, and Security Protocols

  • Releasing dashboards and applications within the organizational framework
  • Overseeing access rights, environment settings, and data governance
  • Best practices for the ongoing maintenance and iteration of solutions

Recap and Future Directions

Requirements

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

Target Audience

  • Business analysts
  • Data specialists
  • Executive management and decision-makers
  • Workflow automation experts
 21 Hours

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