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Course Outline

Introduction to Power BI

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

Data Retrieval and Connection

  • Connecting to multiple data sources (SQL, Excel, cloud).
  • Importing structured and semi-structured data.
  • Using scheduled and real-time refresh options.

Data Preparation and Modeling

  • Transforming data with Power Query.
  • Creating relationships between data sets.
  • Building reusable data models.

Building Visual Reports

  • Creating dashboards with charts, maps, and tables.
  • Drill-through and filter-based interactions.
  • Custom visuals and design best practices.

Applying AI Tools for Trend Analysis

  • Using Power BI AI visuals and smart narratives.
  • Trend detection and time-based insights.
  • Forecasting with built-in analytics tools.

Integrating with BIM Data

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

Publishing and Sharing

  • Publishing to Power BI Service.
  • Workspace and access management.
  • Sharing reports internally and externally.

Summary and Next Steps

Requirements

  • Understanding of data structures and visualization concepts.
  • Experience with Excel or similar tools.
  • Familiarity with BIM processes is beneficial but not mandatory.

Audience

  • Innovation and technology development managers.
  • Data analysts working with construction or engineering data.
  • BIM professionals aiming to improve their data reporting capabilities.
 21 Hours

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