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Course Outline

Foundational Insights into the Microsoft Power Platform

  • Comprehensive overview of Power BI, Power Apps, and Power Automate.
  • Understanding how the Power Platform unifies data, logic, and actionable insights.
  • Exploring the primary advantages of low-code business solutions.

Initial Steps with Power BI

  • Setup and configuration of Power BI Desktop.
  • Establishing connections to Excel, databases, and various online data sources.
  • Refining and transforming data utilizing Power Query.
  • Creating and publishing interactive dashboards.

Introduction to Power Apps

  • Navigating the Power Apps development environment.
  • Generating canvas apps from existing data sources.
  • Structuring app layouts and form designs.
  • Incorporating logic and interactivity through Power Fx formulas.

Linking Power Apps with Data Sources

  • Utilizing Dataverse, SharePoint, and Excel as backend data stores.
  • Managing forms, galleries, and UI controls.
  • Executing CRUD (Create, Read, Update, Delete) operations within the application.

Introduction to Power Automate

  • Distinguishing between automated, instant, and scheduled flow types.
  • Developing and validating automation workflows.
  • Synchronizing Power Automate with Power Apps and Power BI.
  • Leveraging templates and connectors for standard business scenarios.

Synergizing Power Apps, Power Automate, and Power BI

  • Facilitating data transfer between applications and workflows.
  • Initiating automation triggered by events within Power Apps.
  • Embedding Power BI dashboards directly into Power Apps interfaces.
  • Orchestrating end-to-end processes that leverage all three tools.

Security, Governance, and Solution Distribution

  • Administering permissions and data access controls.
  • Implementing environment and role-based governance strategies.
  • Rolling out and sharing Power Platform solutions effectively.

Capstone Project: Developing an Integrated Business Solution

  • Conceptualizing a streamlined business process workflow.
  • Constructing a Power App for data entry and validation tasks.
  • Automating notification and approval chains using Power Automate.
  • Designing a Power BI dashboard for real-time performance reporting.

Recap and Future Directions

Requirements

  • Fundamental knowledge of data management 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 who support business operations.
 21 Hours

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