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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 unifies data, logic, and insights
  • Key advantages of adopting low-code business solutions

Getting Started with Power BI

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

Introduction to Power Apps

  • Navigating the Power Apps environment
  • Developing canvas apps based on specific data sources
  • Designing effective app layouts and forms
  • Incorporating logic and interactivity through Power Fx formulas

Connecting Power Apps to 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

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

Integrating Power Apps, Power Automate, and Power BI

  • Facilitating data transfer between applications and workflows
  • Initiating automation through events in Power Apps
  • Embedding Power BI dashboards within Power Apps
  • Orchestrating end-to-end processes across all three tools

Security, Governance, and Solution Sharing

  • Overseeing permissions and data access controls
  • Implementing environment and role-based governance
  • Distributing and sharing Power Platform solutions

Capstone Project: Constructing an Integrated Business Solution

  • Mapping out a simple business process workflow
  • Developing a Power App for data entry and validation
  • Automating notifications and approval processes using Power Automate
  • Creating a Power BI dashboard for real-time reporting

Wrap-Up and Future Steps

Requirements

  • A foundational understanding of basic data management and reporting procedures
  • Basic proficiency 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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