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Course Outline

Introduction to Power BI

  • Overview of Power BI Desktop and Service
  • Application scenarios in engineering, construction, and BIM
  • Architectural overview of Power BI

Data Retrieval and Connectivity

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

Data Preparation and Modelling

  • Data transformation using Power Query
  • Defining relationships between datasets
  • Constructing reusable data models

Developing Visual Reports

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

Applying AI Tools for Trend Analysis

  • Leveraging Power BI AI visuals and smart narratives
  • Trend detection and time-based insights
  • Forecasting using built-in analytics tools

Integrating with BIM Data

  • 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 Sharing

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

Summary and Next Steps

Requirements

  • A solid understanding of data structures and visualisation concepts
  • Prior experience with Excel or comparable tools
  • Familiarity with BIM processes is beneficial but not mandatory

Target Audience

  • Managers in innovation and technology development
  • Data analysts working with construction or engineering datasets
  • BIM professionals aiming to enhance their data reporting capabilities
 21 Hours

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