코스 개요

Introduction to Microsoft Power Platform

  • Overview of Power BI, Power Apps, and Power Automate

  • How Power Platform connects data, logic, and insights

  • Key benefits of low-code business solutions

Getting Started with Power BI

  • Installing and configuring Power BI Desktop

  • Connecting to Excel, databases, and online data sources

  • Data cleaning and transformation with Power Query

  • Building and publishing interactive dashboards

Introduction to Power Apps

  • Understanding the Power Apps environment

  • Creating canvas apps from data sources

  • Designing app layouts and forms

  • Adding logic and interactivity with Power Fx formulas

Connecting Power Apps with Data Sources

  • Using Dataverse, SharePoint, and Excel as back-end systems

  • Working with forms, galleries, and controls

  • Implementing CRUD operations within the app

Introduction to Power Automate

  • Understanding flow types: automated, instant, and scheduled

  • Creating and testing automation workflows

  • Connecting Power Automate with Power Apps and Power BI

  • Using templates and connectors for common business scenarios

Integrating Power Apps, Power Automate, and Power BI

  • Passing data between apps and workflows

  • Triggering automation from Power Apps events

  • Embedding Power BI dashboards into Power Apps

  • Coordinating end-to-end processes across all three tools

Security, Governance, and Sharing Solutions

  • Managing permissions and data access

  • Environment and role-based governance

  • Deploying and sharing Power Platform solutions

Capstone Project: Building an Integrated Business Solution

  • Designing a simple business process workflow

  • Building a Power App for data input and validation

  • Automating notifications and approvals with Power Automate

  • Creating a Power BI dashboard for real-time reporting

Summary and Next Steps

요건

  • An understanding of basic data handling and reporting processes

  • Basic familiarity with Microsoft Excel or other Office applications

Audience

  • Business analysts

  • Data and process automation specialists

  • Managers and decision-makers

  • IT professionals supporting business operations

 21 시간

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