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Course Outline

Introduction to Power BI

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

Data Retrieval and Connection

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

Data Preparation and Modeling

  • Transforming data using Power Query.
  • Establishing relationships between datasets.
  • Constructing reusable data models.

Building Visual Reports

  • Designing dashboards featuring charts, maps, and tables.
  • Implementing drill-through and filter-based interactions.
  • Applying custom visuals and design best practices.

Applying AI Tools for Trend Analysis

  • Leveraging Power BI AI visuals and smart narratives.
  • Detecting trends and gaining time-based insights.
  • Performing forecasting with built-in analytics tools.

Integrating with BIM Data

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

Publishing and Sharing

  • Publishing reports to the Power BI Service.
  • Managing workspaces and access permissions.
  • Sharing reports both internally and externally.

Summary and Next Steps

Requirements

  • A foundational understanding of data structures and visualization concepts.
  • Practical experience with Excel or comparable tools.
  • Familiarity with BIM processes is advantageous, though not mandatory.

Target Audience

  • Managers in innovation and technology development.
  • Data analysts handling construction or engineering data.
  • BIM professionals looking to improve their data reporting capabilities.
 21 Hours

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