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 Duration 21 hours

Course Outline

Introduction to Power BI

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

Data Retrieval and Connectivity

  • Establishing connections to multiple sources (SQL, Excel, cloud)
  • Importing both structured and semi-structured datasets
  • Utilizing scheduled and real-time refresh capabilities

Data Preparation and Modeling

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

Creating Visual Reports

  • Designing dashboards featuring charts, maps, and tables
  • Implementing drill-through and filter-based interactions
  • Best practices for custom visuals and design

Leveraging AI for Trend Analysis

  • Utilizing Power BI AI visuals and intelligent narratives
  • Detecting trends and generating time-based insights
  • Forecasting using integrated analytics tools

BIM Data Integration

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

Publishing and Sharing

  • Deploying content to the Power BI Service
  • Managing workspaces and user access
  • Distributing reports internally and externally

Summary and Future Steps

Requirements

  • A solid grasp of data structures and visualization principles.
  • Proficiency with Excel or comparable tools.
  • Knowledge of BIM processes is beneficial, though not mandatory.

Target Audience

  • Managers in innovation and technology development.
  • Data analysts handling construction or engineering data.
  • BIM specialists looking to improve their data reporting workflows.

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