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 Duration 21 hours

Course Outline

Introduction to the Microsoft Power Platform

  • Overview of 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 sources.
  • Data cleaning and transformation using Power Query.
  • Creation and publication of interactive dashboards.

Introduction to Power Apps

  • Navigating the Power Apps environment.
  • Generating canvas apps from existing data sources.
  • Designing intuitive app layouts and forms.
  • Enhancing logic and interactivity through Power Fx formulas.

Connecting Power Apps with Data Sources

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

Introduction to Power Automate

  • Exploring flow types: automated, instant, and scheduled.
  • Development and testing of automation workflows.
  • Integration of 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 applications and workflows.
  • Triggering automated actions based on Power Apps events.
  • Embedding Power BI dashboards within Power Apps.
  • Orchestrating end-to-end processes across all three tools.

Security, Governance, and Sharing Solutions

  • Administration of permissions and data access.
  • Implementing environment and role-based governance.
  • Deployment and sharing of Power Platform solutions.

Capstone Project: Developing an Integrated Business Solution

  • Designing a streamlined business process workflow.
  • Developing a Power App for data entry and validation.
  • Automating notifications and approval chains using Power Automate.
  • Building a Power BI dashboard for real-time reporting.

Summary and Future Steps

Requirements

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

Target Audience

  • Business Analysts
  • Data and Process Automation Specialists
  • Managers and Key Decision-Makers
  • IT Professionals supporting business operations

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