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 Duration 21 hours

Course Outline

Introduction to Power BI

  • Foundational overview of Power BI Desktop and Service capabilities
  • Application scenarios in engineering, construction, and Building Information Modeling (BIM)
  • Structural examination of Power BI system architecture

Data Acquisition and Connectivity

  • Establishing connections to diverse data repositories, including SQL, Excel, and cloud-based platforms
  • Ingestion of both structured and semi-structured data sets
  • Configuration of scheduled and real-time data refresh mechanisms

Data Refinement and Modeling

  • Data transformation processes utilizing Power Query
  • Definition of logical relationships among disparate data collections
  • Development of scalable and reusable data models

Development of Visual Reporting

  • Construction of dashboards incorporating charts, geographic maps, and tabular data
  • Implementation of drill-through capabilities and filter-driven user interactions
  • Utilization of custom visuals adherence to design standards

Application of Artificial Intelligence for Trend Analysis

  • Deployment of Power BI AI visuals and intelligent narrative features
  • Identification of trends and extraction of time-series insights
  • Predictive forecasting utilizing integrated analytical components

BIM Data Integration

  • Data export procedures from BIM platforms such as Revit and Navisworks
  • Organization of BIM datasets to ensure Power BI compatibility
  • Visualization of BIM-specific metrics and model characteristics

Distribution and Access Control

  • Publication of assets to the Power BI Service environment
  • Management of workspaces and user access permissions
  • Protocols for internal and external report dissemination

Concluding Summary and Subsequent Actions

Requirements

  • Foundational understanding of data structures and visualization principles
  • Professional experience with Excel or equivalent analytical tools
  • Familiarity with BIM processes is beneficial but not mandatory

Target Audience

  • Innovation and technology development managers
  • Data analysts specializing in construction or engineering sectors
  • BIM professionals aiming to enhance data reporting capabilities

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