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Course Outline
Introduction to Power BI
- Overview of the capabilities of Power BI Desktop and Service for government use cases.
- Application scenarios within engineering, construction, and building information modeling (BIM) sectors.
- Examination of the fundamental architecture underlying Power BI solutions.
Data Retrieval and Connectivity
- Establishing connections to diverse data repositories, including SQL databases, Excel workbooks, and cloud-based platforms.
- Importation procedures for both structured and semi-structured information formats.
- Configuration of scheduled and real-time data refresh protocols.
Data Preparation and Modeling
- Utilization of Power Query for data transformation processes.
- Establishment of logical relationships between disparate data sets.
- Development of standardized and reusable data models to support consistent analytics.
Creation of Visual Reports
- Construction of interactive dashboards utilizing charts, geographic maps, and tabular data views.
- Implementation of drill-through capabilities and filter-driven interaction mechanics.
- Adoption of custom visuals adherence to established design best practices for government applications.
Application of AI Tools for Trend Analysis
- Deployment of Power BI artificial intelligence visuals and automated narrative generation features.
- Identification of trends and derivation of time-sensitive insights from operational data.
- Execution of forecasting methodologies using integrated analytical tools.
Integration with BIM Data Ecosystems
- Extraction of metadata and attributes from BIM software platforms such as Revit and Navisworks.
- Formatting of BIM data to ensure compatibility with Power BI processing requirements.
- Visualization of key BIM performance metrics and model-specific attributes for decision support.
Publication and Distribution Protocols
- Deployment of reports to the Power BI Service environment.
- Management of workspace configurations and user access controls.
- Distribution of analytical reports across internal agency networks and authorized external partners for government stakeholders.
Summary and Next Steps
Requirements
- Proficiency in data structures and visualization methodologies
- Demonstrated experience utilizing Microsoft Excel or comparable software platforms
- Prior knowledge of Building Information Modeling (BIM) protocols is advantageous, though not mandatory
Target Audience
- Managers responsible for innovation and technology development initiatives
- Data analysts specializing in construction or engineering sectors
- BIM specialists aiming to improve data reporting capabilities, particularly within frameworks designed for government applications
21 Hours
Testimonials (2)
How to use relationships in Power BIand the differences between columns and measurements
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