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Course Outline
Introduction to Power BI
- Overview of Power BI Desktop and Service
- Use cases in engineering, construction, and BIM
- Overview of Power BI architecture
Data Retrieval and Connection
- Connecting to multiple data sources (SQL, Excel, cloud)
- Importing structured and semi-structured data
- Using scheduled and real-time refresh options
Data Preparation and Modeling
- Transforming data with Power Query
- Creating relationships between data sets
- Building reusable data models
Building Visual Reports
- Creating dashboards with charts, maps, and tables
- Drill-through and filter-based interactions
- Custom visuals and design best practices
Applying AI Tools for Trend Analysis
- Using Power BI AI visuals and smart narratives
- Trend detection and time-based insights
- Forecasting with built-in analytics tools
Integrating with BIM Data
- Exporting data from BIM tools (e.g., Revit, Navisworks)
- Structuring BIM data for Power BI compatibility
- Visualizing BIM-related metrics and model attributes
Publishing and Sharing
- Publishing to Power BI Service
- Workspace and access management
- Sharing reports internally and externally
Summary and Next Steps
Requirements
- An understanding of data structures and visualization concepts
- Experience with Excel or similar tools
- Familiarity with BIM processes is helpful but not required
Audience
- Innovation and tech development managers
- Data analysts working with construction or engineering data
- BIM professionals seeking to enhance data reporting
21 Hours
Testimonials (2)
Method of training.
Ineshia Bilankulu - National Transmission Company South Africa
Course - Power BI: Basics to Advanced
- Building dashboards - Learning the counts and SUMs and SWITCH -
