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Course Outline

Introduction to the Microsoft Power Platform

  • An overview of Power BI, Power Apps, and Power Automate
  • How the Power Platform bridges data, logic, and insights
  • Primary advantages of adopting low-code business solutions

Beginning with Power BI

  • Setup and configuration of Power BI Desktop
  • Establishing connections to Excel, databases, and online data sources
  • Data cleaning and transformation using Power Query
  • Creation and publication of interactive dashboards

Introduction to Power Apps

  • Navigating the Power Apps environment
  • Building canvas apps based on data sources
  • Structuring app layouts and forms
  • Enhancing logic and interactivity through Power Fx formulas

Linking Power Apps with Data Sources

  • Utilizing Dataverse, SharePoint, and Excel as backend 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
  • Integrating Power Automate with Power Apps and Power BI
  • Leveraging templates and connectors for standard business scenarios

Unifying Power Apps, Power Automate, and Power BI

  • Facilitating data transfer between apps and workflows
  • Triggering automation based on Power Apps events
  • Embedding Power BI dashboards within Power Apps
  • Orchestrating end-to-end processes across all three tools

Security, Governance, and Solution Sharing

  • Administration of permissions and data access
  • Environment and role-based governance strategies
  • Deployment and distribution of Power Platform solutions

Capstone Project: Developing an Integrated Business Solution

  • Designing a straightforward business process workflow
  • Creating 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 handling and reporting procedures
  • Basic proficiency with Microsoft Excel or similar Office applications

Target Audience

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

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