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 Duration 21 hours

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
  • Key advantages of low-code business solutions

Getting Started with Power BI

  • Installing and setting up Power BI Desktop
  • Connecting to Excel files, 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 environment
  • Developing canvas apps based on data sources
  • Designing app layouts and forms
  • Enhancing logic and interactivity using Power Fx formulas

Connecting Power Apps with Data Sources

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

Introduction to Power Automate

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

Integrating Power Apps, Power Automate, and Power BI

  • Transferring data between applications and workflows
  • Initiating automations via Power Apps events
  • Embedding Power BI dashboards within Power Apps
  • Orchestrating end-to-end processes across all three tools

Security, Governance, and Solution Sharing

  • Administering permissions and data access
  • Implementing environment and role-based governance
  • Deploying and distributing Power Platform solutions

Capstone Project: Constructing an Integrated Business Solution

  • Designing a streamlined business process workflow
  • Developing a Power App for data entry and validation
  • Automating notifications and approvals using Power Automate
  • Building a Power BI dashboard for real-time reporting

Summary and Next Steps

Requirements

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

Target Audience

  • Business analysts
  • Data and process automation specialists
  • Managers and strategic decision-makers
  • IT professionals supporting business operations

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