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Course Outline

Introduction to Power BI

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

Data Retrieval and Connectivity

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

Data Preparation and Modelling

  • Data transformation using Power Query
  • Defining relationships between 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

  • Utilising Power BI AI visuals and intelligent narratives
  • Identifying trends and deriving time-based insights
  • Generating forecasts with built-in analytics features

BIM Data Integration

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

Publishing and Sharing

  • Deploying reports to Power BI Service
  • Managing workspaces and access permissions
  • Distributing reports to internal and external stakeholders

Recap and Future Steps

Requirements

  • A solid grasp of data structures and visualisation concepts
  • Practical experience with Excel or equivalent tools
  • While familiarity with BIM processes is advantageous, it is not mandatory

Target Audience

  • Managers in innovation and technology development
  • Data analysts handling construction or engineering datasets
  • BIM specialists looking to refine their data reporting strategies
 21 Hours

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Provisional Upcoming Courses (Require 5+ participants)

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