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 Duration 21 hours

Course Outline

Introduction to the Microsoft Power Platform

  • An overview of Power BI, Power Apps, Power Automate, and Power Virtual Agents
  • Exploring the synergy between Microsoft 365 and the Power Platform
  • Recognizing the business impact of low-code development strategies

Initiating Work with Power BI

  • Setting up and configuring Power BI Desktop
  • Establishing connections to diverse data sources such as Excel, databases, and cloud services
  • Performing data cleansing and transformation via Power Query

Data Modeling and Relationships in Power BI

  • Grasping the concepts of data models and their relationships
  • Applying DAX (Data Analysis Expressions) to perform calculations
  • Constructing hierarchies and defining measures

Visualizing Data and Building Dashboards

  • Designing dashboards that are both effective and interactive
  • Utilizing various visual components including charts, maps, slicers, and tables
  • Implementing filters, drill-through capabilities, and conditional formatting

Introduction to Power Apps

  • Navigating the Power Apps development environment
  • Developing both canvas and model-driven applications
  • Crafting intuitive user interfaces and layouts

Integrating Power Apps with Data Sources

  • Leveraging Dataverse, SharePoint, and Excel as foundational data sources
  • Building forms, galleries, and data cards
  • Implementing logic through formulas and actions

Automation and System Integration

  • Utilizing Power Automate in conjunction with Power Apps and Power BI
  • Configuring triggers and establishing automated workflows
  • Real-world automation scenarios: handling approvals, sending notifications, and updating records

Publishing, Sharing, and Security Protocols

  • Deploying dashboards and apps across the organization
  • Administering permissions, environments, and data governance standards
  • Adopting best practices for the maintenance and evolution of solutions

Summary and Path Forward

Requirements

  • A foundational grasp of data management and reporting procedures
  • Familiarity with Microsoft Excel or comparable spreadsheet applications

Target Audience

  • Business analysts
  • Data specialists
  • Managers and key decision-makers
  • Process automation experts

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