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Course Outline

Introduction to Power BI

  • Overview of Power BI Desktop and the Power BI Service.
  • Practical applications in engineering, construction, and BIM.
  • Understanding the underlying architecture of Power BI.

Data Retrieval and Connectivity

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

Data Preparation and Modelling

  • Transforming raw data using Power Query.
  • Defining relationships between disparate datasets.
  • Constructing robust, reusable data models.

Developing Visual Reports

  • Building interactive dashboards featuring charts, maps, and tables.
  • Implementing drill-through capabilities and filter-based interactions.
  • Applying custom visuals and adhering to design best practices.

Leveraging AI for Trend Analysis

  • Utilising Power BI AI visuals and intelligent narrative features.
  • Identifying trends and extracting time-based insights.
  • Generating forecasts with integrated analytics tools.

BIM Data Integration

  • Extracting data from BIM platforms (e.g., Revit, Navisworks).
  • Structuring BIM data for optimal Power BI compatibility.
  • Visualising key BIM metrics and model attributes.

Publishing and Distribution

  • Deploying reports to the Power BI Service.
  • Managing workspaces and user access permissions.
  • Sharing reports with internal teams and external stakeholders.

Summary and Future Directions

Requirements

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

Target Audience

  • Innovation and technology development managers.
  • Data analysts focused on construction or engineering datasets.
  • BIM professionals aiming to refine their data reporting capabilities.
 21 Hours

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