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Course Outline
Introduction to Power BI
- Overview of Power BI Desktop and Power BI Service
- Applications in engineering, construction, and BIM
- Architectural overview of Power BI
Data Retrieval and Connectivity
- Establishing connections to diverse sources (SQL, Excel, cloud)
- Ingesting structured and semi-structured data
- Configuring scheduled and real-time refresh mechanisms
Data Preparation and Modelling
- Data transformation using Power Query
- Defining relationships between datasets
- Constructing reusable data models
Creating Visual Reports
- Building dashboards featuring charts, maps, and tables
- Implementing drill-through and filter-based interactions
- Utilising custom visuals and adhering to design best practices
Leveraging AI Tools for Trend Analysis
- Utilising Power BI AI visuals and intelligent narratives
- Identifying trends and deriving time-based insights
- Generating forecasts with built-in analytics features
BIM Data Integration
- Exporting data from BIM tools (e.g., Revit, Navisworks)
- Structuring BIM data for Power BI compatibility
- Visualising BIM-specific metrics and model attributes
Publishing and Sharing
- Deploying reports to Power BI Service
- Managing workspaces and access permissions
- Distributing reports to internal and external stakeholders
Recap and Future Steps
Requirements
- A solid grasp of data structures and visualisation concepts
- Practical experience with Excel or equivalent tools
- While familiarity with BIM processes is advantageous, it is not mandatory
Target Audience
- Managers in innovation and technology development
- Data analysts handling construction or engineering datasets
- BIM specialists looking to refine their data reporting strategies
21 Hours
Testimonials (2)
How to use relationships in Power BIand the differences between columns and measurements
LEUNG Chun Hei - HAESL
Course - Advanced Power BI: Data Modeling, DAX, and Enhanced Analytics
Method of training.