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Course Outline

Overview of the Microsoft Power Platform

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

Initiating with Power BI

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

Introduction to Power Apps

  • Grasping the Power Apps environment
  • Developing canvas apps from existing data sources
  • Layout and form design for apps
  • Incorporating logic and interactivity through Power Fx formulas

Linking Power Apps to Data Sources

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

Introduction to Power Automate

  • Understanding flow types: automated, instant, and scheduled
  • Creation and testing of automation workflows
  • Integration of Power Automate with Power Apps and Power BI
  • Leveraging templates and connectors for standard business scenarios

Unifying Power Apps, Power Automate, and Power BI

  • Data transfer 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

  • Administration of permissions and data access
  • Environment and role-based governance
  • Deployment and distribution of 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
  • Creating a Power BI dashboard for real-time reporting

Summary and Subsequent Steps

Requirements

  • A foundational understanding of basic data handling and reporting procedures
  • Basic proficiency with Microsoft Excel or other Microsoft Office applications

Target Audience

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

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