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Course Outline

Introduction to the Microsoft Power Platform

  • An overview of Power BI, Power Apps, and Power Automate
  • The way the Power Platform links data, logic, and insights
  • Primary advantages of low-code business solutions

Beginning with Power BI

  • Setting up and configuring Power BI Desktop
  • Linking to Excel, databases, and online data sources
  • Cleaning and transforming data using Power Query
  • Constructing and publishing interactive dashboards

Introduction to Power Apps

  • Exploring the Power Apps environment
  • Creating canvas apps based on data sources
  • Designing app layouts and forms
  • Incorporating logic and interactivity via Power Fx formulas

Linking Power Apps with Data Sources

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

Introduction to Power Automate

  • Distinguishing flow types: automated, instant, and scheduled
  • Creating and testing automation workflows
  • Integrating Power Automate with Power Apps and Power BI
  • Leveraging templates and connectors for typical business scenarios

Combining Power Apps, Power Automate, and Power BI

  • Transferring data between applications and workflows
  • Initiating automation from Power Apps events
  • Embedding Power BI dashboards within Power Apps
  • Coordinating end-to-end processes across all three tools

Security, Governance, and Solution Sharing

  • Administering permissions and data access
  • Environment and role-based governance
  • Deploying and sharing Power Platform solutions

Capstone Project: Constructing an Integrated Business Solution

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

Recap and Future Steps

Requirements

  • A foundational grasp of basic data management and reporting procedures
  • Familiarity 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 providing support for business operations
 21 Hours

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