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Course Outline

Introduction to the Microsoft Power Platform

  • An overview of Power BI, Power Apps, and Power Automate
  • Understanding how the Power Platform unifies data, logic, and insights
  • The primary advantages of adopting low-code business solutions

Getting Started with Power BI

  • Installation and configuration of Power BI Desktop
  • Establishing connections to Excel, databases, and online data sources
  • Data cleansing and transformation using Power Query
  • Creating and publishing interactive dashboards

Introduction to Power Apps

  • Navigating the Power Apps environment
  • Building canvas apps from existing data sources
  • Crafting app layouts and forms
  • Enhancing logic and interactivity using Power Fx formulas

Connecting Power Apps with Data Sources

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

Introduction to Power Automate

  • Exploring flow types: automated, instant, and scheduled
  • Building and testing automation workflows
  • Linking Power Automate with Power Apps and Power BI
  • Utilizing templates and connectors for standard 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 controlling data access
  • Implementing environment and role-based governance
  • Deploying and sharing Power Platform solutions

Capstone Project: Creating an Integrated Business Solution

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

Summary and Future Directions

Requirements

  • Foundational knowledge of basic data management and reporting procedures
  • Basic proficiency with Microsoft Excel or similar Office applications

Target Audience

  • Business Analysts
  • Data and Process Automation Specialists
  • Managers and Strategic Decision-Makers
  • IT Professionals supporting Business Operations
 21 Hours

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