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 Duration 21 hours

Course Outline

Overview of the Microsoft Power Platform

  • Introduction to Power BI, Power Apps, and Power Automate
  • How the Power Platform unifies data, logic, and insights
  • Core advantages of low-code business solutions

Getting Started with Power BI

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

Introduction to Power Apps

  • Navigating the Power Apps environment
  • Creating canvas apps linked to 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
  • Interacting with forms, galleries, and controls
  • Executing CRUD operations within the application

Introduction to Power Automate

  • Understanding flow types: automated, instant, and scheduled
  • Developing and testing automation workflows
  • Synchronizing 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 applications and workflows
  • Initiating 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

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

Capstone Project: Developing an Integrated Business Solution

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

Recap and Future Steps

Requirements

  • A fundamental grasp of data management and reporting procedures
  • Basic knowledge of Microsoft Excel or other Microsoft Office applications

Target Audience

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

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