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Course Outline

Introduction to Power BI

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

Data Retrieval and Connectivity

  • Establishing connections to multiple data sources (SQL, Excel, cloud)
  • Ingesting structured and semi-structured data
  • Utilising scheduled and real-time refresh mechanisms

Data Preparation and Modelling

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

Creating Visual Reports

  • Building dashboards featuring charts, maps, and tables
  • Implementing drill-through and filter-based interactions
  • Utilising custom visuals and adhering to design best practices

Leveraging AI Tools for Trend Analysis

  • Using Power BI AI visuals and intelligent narratives
  • Identifying trends and extracting time-based insights
  • Applying built-in analytics tools for forecasting

BIM Data Integration

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

Publishing and Collaboration

  • Publishing content to the Power BI Service
  • Managing workspaces and user access
  • Sharing reports with internal and external stakeholders

Summary and Future Directions

Requirements

  • A foundational understanding of data structures and visualisation concepts.
  • Proficiency with Excel or comparable spreadsheet tools.
  • Familiarity with BIM processes is beneficial but not mandatory.

Target Audience

  • Innovation and technology development managers.
  • Data analysts handling construction or engineering data.
  • BIM specialists looking to enhance their data reporting skills.
 21 Hours

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