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Duration 21 hours
Course Outline
Introduction to Power BI
- Overview of Power BI Desktop and Service.
- Application cases in engineering, construction, and BIM.
- Overview of Power BI architecture.
Data Retrieval and Connectivity
- Connecting to various data sources (SQL, Excel, cloud).
- 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.
Creating Visual Reports
- Building dashboards with charts, maps, and tables.
- Implementing drill-through and filter-based interactions.
- Custom visuals and design best practices.
Leveraging AI Tools for Trend Analysis
- Utilizing Power BI AI visuals and smart narratives.
- Detecting trends and gaining time-based insights.
- Forecasting using built-in analytics tools.
Integrating BIM Data
- Exporting data from BIM tools (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 Power BI Service.
- Managing workspaces and access permissions.
- Sharing reports both internally and externally.
Summary and Future Steps
Requirements
- A solid grasp of data structures and visualization concepts.
- Practical experience with Excel or comparable tools.
- Familiarity with BIM processes is beneficial but not mandatory.
Target Audience
- Innovation and technology development managers.
- Data analysts working with construction or engineering data.
- BIM professionals aiming to enhance data reporting capabilities.
Testimonials (2)
The most valuable takeaway was learning how to apply the concepts in real-world scenarios and understanding the tools and processes.
Marcel Tansae - DB Technology
Course - Microsoft Power Automate
How to use relationships in Power BIand the differences between columns and measurements