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Course Outline

Introduction to the Microsoft Power Platform

  • Overview of Power BI, Power Apps, Power Automate, and Power Virtual Agents.
  • Integration between Microsoft 365 and the Power Platform.
  • Understanding the business advantages of low-code development.

Getting Started with Power BI

  • Installing and setting up Power BI Desktop.
  • Linking to diverse data sources, including Excel, databases, and cloud services.
  • Cleaning and transforming data using Power Query.

Data Modeling and Relationships in Power BI

  • Grasping the concept of data models and their relationships.
  • Applying DAX (Data Analysis Expressions) for calculations.
  • Establishing hierarchies and creating measures.

Data Visualization and Dashboards

  • Designing impactful and interactive dashboards.
  • Utilizing visual components such as charts, maps, slicers, and tables.
  • Implementing filters, drill-through functionality, and conditional formatting.

Introduction to Power Apps

  • Exploring the Power Apps development environment.
  • Building canvas-based and model-driven applications.
  • Crafting user interfaces and layouts.

Connecting Power Apps with Data Sources

  • Leveraging Dataverse, SharePoint, and Excel as data backends.
  • Developing forms, galleries, and data cards.
  • Constructing logic using formulas and actions.

Automation and Integration

  • Integrating Power Automate with Power Apps and Power BI.
  • Configuring triggers and setting up automated workflows.
  • Examining real-world automation scenarios, such as approvals, notifications, and data updates.

Publishing, Sharing, and Security

  • Deploying dashboards and applications across the organization.
  • Administering permissions, environments, and data governance.
  • Following best practices for the ongoing maintenance and updating of solutions.

Conclusion and Next Steps

Requirements

  • Familiarity with data management and reporting workflows.
  • Basic proficiency with Microsoft Excel or comparable spreadsheet software.

Target Audience

  • Business analysts.
  • Data specialists.
  • Managers and strategic decision-makers.
  • Workflow automation experts.
 21 Hours

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