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Course Outline

Introduction to Power BI

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

Data Retrieval and Connection

  • Connecting to multiple 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 data sets
  • Developing reusable data models

Building Visual Reports

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

Applying AI Tools for Trend Analysis

  • Leveraging Power BI AI visuals and smart narratives
  • Identifying trends and deriving time-based insights
  • Performing 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
  • 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 Next Steps

Requirements

  • A foundational understanding of data structures and visualization concepts
  • Experience using Excel or similar tools
  • Familiarity with BIM processes is beneficial but not mandatory

Audience

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

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