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Course Outline

Introduction to Power BI

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

Data Retrieval and Connectivity

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

Data Preparation and Modeling

  • Data transformation workflows using Power Query
  • Defining relationships between disparate datasets
  • Constructing reusable data models

Developing Visual Reports

  • Building dashboards incorporating charts, maps, and tabular data
  • Implementing drill-through and filter-based interactivity
  • Employing custom visuals and adhering to design best practices

Leveraging AI for Trend Analysis

  • Utilizing Power BI AI visuals and intelligent narrative features
  • Identifying trends and extracting time-based insights
  • Performing forecasting using integrated analytics tools

BIM Data Integration

  • Extracting data from BIM applications (e.g., Revit, Navisworks)
  • Organizing BIM data for optimal Power BI compatibility
  • Visualizing key BIM metrics and model attributes

Publishing and Collaboration

  • Deploying reports to Power BI Service
  • Managing workspaces and user access controls
  • Sharing reports with internal teams and external stakeholders

Conclusion and Future Directions

Requirements

  • Foundational knowledge of data structures and visualization principles
  • Proficiency with Excel or comparable data analysis tools
  • Prior exposure to BIM processes is advantageous but not mandatory

Target Audience

  • Managers in innovation and technology development
  • Data analysts specializing in construction or engineering sectors
  • BIM specialists aiming to refine their data reporting capabilities
 21 Hours

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