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 Duration 21 hours

Course Outline

Introduction to Power BI

  • Overview of Power BI Desktop and Service.
  • Application cases in engineering, construction, and BIM.
  • Understanding Power BI architecture.

Data Retrieval and Connectivity

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

Data Preparation and Modeling

  • Transforming datasets using Power Query.
  • Defining relationships between data sets.
  • Developing reusable data models.

Constructing Visual Reports

  • Designing dashboards with charts, maps, and tables.
  • Implementing drill-through and filter-based interactions.
  • Utilizing custom visuals and adhering to design best practices.

Leveraging AI for Trend Analysis

  • Incorporating Power BI AI visuals and smart narratives.
  • Identifying trends and generating time-based insights.
  • Executing forecasts with built-in analytics capabilities.

BIM Data Integration

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

Publishing and Distribution

  • Deploying reports to Power BI Service.
  • Managing workspaces and access permissions.
  • Sharing reports with internal and external stakeholders.

Recap and Future Directions

Requirements

  • Foundational knowledge of data structures and visualization principles.
  • Proficiency with Excel or comparable spreadsheet tools.
  • While not mandatory, familiarity with BIM workflows is advantageous.

Target Audience

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

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