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Course Outline

Introduction to the Microsoft Power Platform

  • Overview of Power BI, Power Apps, and Power Automate.
  • How the Power Platform unifies data, logic, and insights.
  • Core advantages of low-code business solutions.

Getting Started with Power BI

  • Setting up and configuring Power BI Desktop.
  • Establishing connections to Excel, databases, and online data sources.
  • Cleaning and transforming data using Power Query.
  • Creating and publishing interactive dashboards.

Introduction to Power Apps

  • Exploring the Power Apps development environment.
  • Building canvas apps from existing data sources.
  • Designing intuitive app layouts and forms.
  • Enhancing logic and interactivity with Power Fx formulas.

Connecting Power Apps with Data Sources

  • Leveraging Dataverse, SharePoint, and Excel as backend systems.
  • Utilizing forms, galleries, and controls effectively.
  • Executing CRUD operations within the application.

Introduction to Power Automate

  • Understanding different flow types: automated, instant, and scheduled.
  • Building and testing automation workflows.
  • Linking Power Automate with Power Apps and Power BI.
  • Applying templates and connectors for common business scenarios.

Integrating Power Apps, Power Automate, and Power BI

  • Facilitating data exchange between apps and workflows.
  • Triggering automations based on Power Apps events.
  • Embedding Power BI dashboards directly into Power Apps.
  • Orchestrating end-to-end processes across all three tools.

Security, Governance, and Solution Sharing

  • Managing permissions and data access controls.
  • Implementing environment and role-based governance.
  • Deploying and sharing Power Platform solutions.

Capstone Project: Constructing an Integrated Business Solution

  • Mapping out a simple business process workflow.
  • Developing a Power App for data input and validation.
  • Automating notifications and approval processes with Power Automate.
  • Creating a Power BI dashboard for real-time reporting.

Summary and Future Directions

Requirements

  • Foundational knowledge of data handling and reporting processes.
  • Basic proficiency with Microsoft Excel or other Office applications.

Target Audience

  • Business analysts.
  • Specialists in data and process automation.
  • Managers and strategic decision-makers.
  • IT professionals supporting business operations.
 21 Hours

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