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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 Modelling
- 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.
- Visualising 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 visualisation concepts.
- Experience with Excel or similar tools.
- Familiarity with BIM processes is advantageous but not essential.
Audience
- Innovation and technology development managers.
- Data analysts working with construction or engineering data.
- BIM professionals looking to enhance data reporting capabilities.
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 -
