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Course Outline

Introduction to Power BI

  • Overview of Power BI Desktop and Service.
  • Use cases within engineering, construction, and BIM.
  • Overview of the Power BI architecture.

Data Retrieval and Connection

  • Connecting to multiple data sources, including SQL, Excel, and cloud platforms.
  • Importing structured and semi-structured data.
  • Utilizing scheduled and real-time refresh options.

Data Preparation and Modeling

  • Transforming data using Power Query.
  • Establishing relationships between different data sets.
  • Constructing reusable data models.

Building Visual Reports

  • Creating dashboards featuring charts, maps, and tables.
  • Implementing drill-through and filter-based interactions.
  • Designing custom visuals and applying best practices.

Applying AI Tools for Trend Analysis

  • Utilizing Power BI AI visuals and smart narratives.
  • Identifying trends and gaining time-based insights.
  • Performing forecasting using built-in analytics tools.

Integrating with BIM Data

  • Exporting data from BIM tools, such as Revit and Navisworks.
  • Structuring BIM data to ensure compatibility with Power BI.
  • Visualizing BIM-related metrics and model attributes.

Publishing and Sharing

  • Publishing reports to the Power BI Service.
  • Managing workspaces and access permissions.
  • Sharing reports both internally and externally.

Summary and Next Steps

Requirements

  • A solid understanding of data structures and visualization concepts.
  • Practical experience with Excel or comparable tools.
  • Familiarity with BIM processes is beneficial but not mandatory.

Audience

  • Innovation and technology development managers.
  • Data analysts working with construction or engineering data.
  • BIM professionals looking to improve data reporting capabilities.
 21 Hours

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