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Course Outline

Introduction to Power BI

  • Overview of Power BI Desktop and Service
  • Applications in engineering, construction, and BIM
  • Understanding Power BI architecture

Data Extraction and Connectivity

  • Linking to various data sources (SQL, Excel, cloud)
  • Ingesting structured and semi-structured data
  • Utilizing scheduled and real-time refresh capabilities

Data Preparation and Modeling

  • Manipulating data via Power Query
  • Establishing relationships between datasets
  • Constructing reusable data models

Creating Visual Reports

  • Building dashboards featuring charts, maps, and tables
  • Drill-through functionality and filter-driven interactions
  • Custom visuals and design best practices

Leveraging AI Tools for Trend Analysis

  • Employing Power BI AI visuals and intelligent narratives
  • Pattern recognition and time-based insights
  • Predictive analysis using integrated analytics tools

BIM Data Integration

  • Exporting data from BIM tools (e.g., Revit, Navisworks)
  • Organizing BIM data for Power BI compatibility
  • Visualizing BIM-related metrics and model attributes

Publishing and Distribution

  • Deploying to Power BI Service
  • Workspace configuration and access control
  • Sharing reports internally and externally

Recap and Future Directions

Requirements

  • A solid grasp of data structures and visualization principles
  • Proficiency with Excel or comparable tools
  • Knowledge of BIM workflows is beneficial but not mandatory

Target Audience

  • Managers in innovation and technology development
  • Data analysts handling construction or engineering datasets
  • BIM specialists looking to improve data reporting capabilities
 21 Hours

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