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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.
- Utilizing scheduled and real-time refresh options.
Data Preparation and Modeling
- Transforming data with Power Query.
- Establishing relationships between datasets.
- Building reusable data models.
Building Visual Reports
- Creating dashboards with charts, maps, and tables.
- Implementing drill-through and filter-based interactions.
- Using custom visuals and adhering to design best practices.
Applying AI Tools for Trend Analysis
- Leveraging Power BI AI visuals and smart narratives.
- Detecting trends and gaining time-based insights.
- Forecasting using 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.
- Managing workspaces and access.
- Sharing reports internally and externally.
Summary and Next Steps
Requirements
- A foundational understanding of data structures and visualization concepts.
- Experience with Excel or similar software.
- Familiarity with BIM processes is advantageous but not mandatory.
Audience
- Managers in innovation and technology development.
- Data analysts working with construction or engineering data.
- BIM professionals looking to improve data reporting capabilities.
21 Hours
Testimonials (1)
engagement with the attendees