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Course Outline

Introduction to Microsoft Power Platform

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

Getting Started with Power BI

  • Installation and configuration of Power BI Desktop.
  • Connecting to diverse data sources, including Excel, databases, and cloud services.
  • Data cleaning and transformation utilizing Power Query.

Data Modeling and Relationships in Power BI

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

Data Visualization and Dashboards

  • Designing effective and interactive dashboards.
  • Utilizing visual elements such as charts, maps, slicers, and tables.
  • Implementing filters, drill-through capabilities, and conditional formatting.

Introduction to Power Apps

  • Familiarizing with the Power Apps environment.
  • Creating canvas and model-driven apps.
  • Designing user interfaces and layouts.

Connecting Power Apps with Data Sources

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

Automation and Integration

  • Utilizing Power Automate alongside Power Apps and Power BI.
  • Configuring triggers and automated workflows.
  • Exploring real-world automation examples, including approvals, notifications, and updates.

Publishing, Sharing, and Security

  • Publishing dashboards and apps within the organization.
  • Managing permissions, environments, and data governance.
  • Adhering to best practices for maintaining and updating solutions.

Summary and Next Steps

Requirements

  • A foundational understanding of data handling and reporting procedures.
  • Basic proficiency with Microsoft Excel or comparable spreadsheet software.

Target Audience

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

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