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Course Outline
Introduction to Power BI
- Overview of Power BI Desktop and Service.
- Use cases within engineering, construction, and BIM.
- Overview of the Power BI architecture.
Data Retrieval and Connection
- Connecting to multiple data sources, including SQL, Excel, and cloud platforms.
- 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 different data sets.
- Constructing reusable data models.
Building Visual Reports
- Creating dashboards featuring charts, maps, and tables.
- Implementing drill-through and filter-based interactions.
- Designing custom visuals and applying best practices.
Applying AI Tools for Trend Analysis
- Utilizing Power BI AI visuals and smart narratives.
- Identifying trends and gaining time-based insights.
- Performing forecasting using built-in analytics tools.
Integrating with BIM Data
- Exporting data from BIM tools, such as Revit and Navisworks.
- Structuring BIM data to ensure 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 solid understanding of data structures and visualization concepts.
- Practical experience with Excel or comparable tools.
- Familiarity with BIM processes is beneficial but not mandatory.
Audience
- Innovation and technology development managers.
- Data analysts working with construction or engineering data.
- BIM professionals looking to improve data reporting capabilities.
21 Hours
Testimonials (2)
The subject was taught in an engaging way, making me want to learn more.
kgotla Moncho - Martin Engineering Africa
Course - PL-300T00: Microsoft Power BI Data Analyst
The coding and analysis, how the information come together in a report which will be useful for my work