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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.
  • Overview of Power BI architecture.

Data Retrieval and Connectivity

  • Connecting to various data sources (SQL, Excel, cloud).
  • 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.

Creating Visual Reports

  • Building dashboards with charts, maps, and tables.
  • Implementing drill-through and filter-based interactions.
  • Custom visuals and design best practices.

Leveraging AI Tools for Trend Analysis

  • Utilizing Power BI AI visuals and smart narratives.
  • Detecting trends and gaining time-based insights.
  • Forecasting using built-in analytics tools.

Integrating BIM Data

  • Exporting data from BIM tools (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 Power BI Service.
  • Managing workspaces and access permissions.
  • Sharing reports both internally and externally.

Summary and Future Steps

Requirements

  • A solid grasp of data structures and visualization concepts.
  • Practical experience with Excel or comparable tools.
  • Familiarity with BIM processes is beneficial but not mandatory.

Target Audience

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

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