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Course Outline

Introduction to Power BI

  • Understanding Power BI Desktop and Service capabilities
  • Practical applications in engineering, construction, and BIM contexts
  • Foundational overview of Power BI architecture

Data Retrieval and Connectivity

  • Establishing connections to diverse data sources (SQL, Excel, cloud platforms)
  • Importing both structured and semi-structured data formats
  • Configuring scheduled and real-time data refresh mechanisms

Data Preparation and Modeling

  • Transforming raw data using Power Query
  • Defining relationships between various datasets
  • Constructing reusable and scalable data models

Constructing Visual Reports

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

Leveraging AI for Trend Analysis

  • Utilizing Power BI AI visuals and smart narrative features
  • Identifying trends and extracting time-based insights
  • Performing forecasting using built-in analytical tools

BIM Data Integration

  • Extracting data from BIM tools (such as Revit and Navisworks)
  • Structuring BIM data for optimal Power BI compatibility
  • Visualizing BIM-specific metrics and model attributes

Publishing and Distribution

  • Publishing content to Power BI Service
  • Managing workspaces and user access controls
  • Distributing reports for internal and external stakeholders

Recap and Future Directions

Requirements

  • A solid understanding of data structures and visualization principles
  • Proficiency with Excel or comparable spreadsheet tools
  • Familiarity with BIM workflows is beneficial, though not mandatory

Target Audience

  • Innovation and technology development managers
  • Data analysts handling construction or engineering datasets
  • BIM specialists aiming to elevate their data reporting capabilities
 21 Hours

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