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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.
  • The primary advantages of low-code business solutions.

Getting Started with Power BI

  • Setting up and configuring Power BI Desktop.
  • Linking to Excel, databases, and online data sources.
  • Cleaning and transforming data using Power Query.
  • Constructing and publishing interactive dashboards.

Introduction to Power Apps

  • Navigating the Power Apps environment.
  • Developing canvas apps from various data sources.
  • Designing app layouts and forms.
  • Incorporating logic and interactivity using Power Fx formulas.

Linking Power Apps with Data Sources

  • Utilising Dataverse, SharePoint, and Excel as backend systems.
  • Working 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.
  • Linking Power Automate with Power Apps and Power BI.
  • Leveraging templates and connectors for common business scenarios.

Integrating Power Apps, Power Automate, and Power BI

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

Security, Governance, and Solution Sharing

  • Managing permissions and data access controls.
  • Environment and role-based governance strategies.
  • Deploying and distributing Power Platform solutions.

Capstone Project: Creating a Unified Business Solution

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

Summary and Future Steps

Requirements

  • A foundational understanding 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 key decision-makers.
  • IT professionals assisting with business operations.
 21 Hours

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