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 Duration 21 hours

Course Outline

Introduction to Power BI

  • Overview of Power BI Desktop and Service
  • Applications in engineering, construction, and BIM
  • Architectural overview of Power BI

Data Retrieval and Connectivity

  • Establishing connections to diverse data sources (SQL, Excel, cloud)
  • Ingesting structured and semi-structured data
  • Utilizing scheduled and real-time refresh mechanisms

Data Preparation and Modeling

  • Data transformation using Power Query
  • Establishing relationships between datasets
  • Constructing reusable data models

Constructing Visual Reports

  • Developing dashboards featuring charts, maps, and tables
  • Implementing drill-through and filter-based interactions
  • Incorporating custom visuals and adhering to design best practices

Leveraging AI Tools for Trend Analysis

  • Utilizing Power BI AI visuals and intelligent narratives
  • Detecting trends and deriving time-based insights
  • Performing forecasting using built-in analytical tools

BIM Data Integration

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

Publishing and Distribution

  • Publishing content to the Power BI Service
  • Managing workspaces and access controls
  • Sharing reports with internal and external stakeholders

Summary and Future Steps

Requirements

  • Foundational knowledge of data structures and visualization principles
  • Proficiency with Excel or comparable tools
  • Familiarity with BIM workflows is beneficial but not mandatory

Target Audience

  • Innovation and technology development managers
  • Data analysts handling construction or engineering datasets
  • BIM specialists aiming to refine data reporting capabilities

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