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Course Outline
Introduction to Power BI
- Overview of Power BI Desktop and Service.
- Applicable use cases in engineering, construction, and BIM.
- Overview of Power BI architecture.
Data Retrieval and Connection
- Connecting to various data sources (SQL, Excel, cloud services).
- 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 datasets.
- Constructing reusable data models.
Building Visual Reports
- Designing dashboards featuring charts, maps, and tables.
- Implementing drill-through and filter-based interactions.
- Applying custom visuals and design best practices.
Applying AI Tools for Trend Analysis
- Leveraging Power BI AI visuals and smart narratives.
- Detecting trends and gaining time-based insights.
- Performing forecasting with built-in analytics tools.
Integrating with BIM Data
- Exporting data from BIM software (e.g., Revit, Navisworks).
- Structuring BIM data for 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 foundational understanding of data structures and visualization concepts.
- Practical experience with Excel or comparable tools.
- Familiarity with BIM processes is advantageous, though not mandatory.
Target Audience
- Managers in innovation and technology development.
- Data analysts handling construction or engineering data.
- BIM professionals looking to improve their data reporting capabilities.
21 Hours
Testimonials (2)
Method of training.
Ineshia Bilankulu - National Transmission Company South Africa
Course - Power BI: Basics to Advanced
Useful and practical, the knowledge gained in training can be applied immediately.