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 Duration 21 hours

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 with various data sources (SQL, Excel, cloud platforms).
  • Ingesting both structured and semi-structured data formats.
  • Configuring scheduled and real-time data refresh mechanisms.

Data Preparation and Modeling

  • Utilizing Power Query for data transformation.
  • Defining relationships between different datasets.
  • Constructing reusable and efficient data models.

Creating Visual Reports

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

Leveraging AI Tools for Trend Analysis

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

BIM Data Integration

  • Exporting data from BIM applications (such as Revit and Navisworks).
  • Structuring BIM data for compatibility with Power BI.
  • Visualizing key BIM metrics and model attributes.

Publishing and Collaboration

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

Conclusion and Future Directions

Requirements

  • A solid grasp of data structures and visualization principles.
  • Proficiency with Excel or comparable software tools.
  • While familiarity with BIM workflows is advantageous, it is not a strict requirement.

Target Audience

  • Managers focused on innovation and technology development.
  • Data analysts specializing in construction or engineering datasets.
  • BIM specialists looking to refine their data reporting capabilities.

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