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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 links data, logic, and insights

Getting Started with Power BI

  • Installation and configuration of Power BI Desktop
  • Connecting to Excel, databases, and online data sources
  • Data cleaning and transformation using Power Query
  • Building and publishing interactive dashboards

Introduction to Power Apps

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

Connecting Power Apps to Data Sources

  • Utilizing Dataverse, SharePoint, and Excel as back-end systems
  • Managing forms, galleries, and UI controls
  • Implementing CRUD operations within the application

Introduction to Power Automate

  • Building and testing automated workflows
  • Linking Power Automate with Power Apps and Power BI
  • Leveraging templates and connectors for common business scenarios

Integrating Power Apps, Power Automate, and Power BI

  • Facilitating data exchange between apps and workflows
  • Triggering automations via 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

  • Administering permissions and data access controls
  • Deploying and distributing Power Platform solutions

Capstone Project: Constructing an Integrated Business Solution

  • Designing a simple business process workflow
  • Developing a Power App for data entry and validation
  • Automating notifications and approval cycles with Power Automate
  • Creating a Power BI dashboard for real-time reporting

Conclusion and Next Steps

Requirements

  • Foundational knowledge of data handling and reporting procedures
  • Basic proficiency with Microsoft Excel or other Office suite 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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