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Course Outline

Introduction to Power BI

  • Overview of Power BI Desktop and Service
  • Applications in engineering, construction, and BIM
  • Understanding Power BI architecture

Data Retrieval and Connectivity

  • Establishing connections to diverse data sources (SQL, Excel, cloud)
  • Importing structured and semi-structured data
  • Utilizing scheduled and real-time refresh mechanisms

Data Preparation and Modeling

  • Data transformation using Power Query
  • Establishing relationships between datasets
  • Constructing reusable data models

Developing Visual Reports

  • Creating dashboards featuring charts, maps, and tables
  • Implementing drill-through and filter-based interactions
  • Custom visuals and design best practices

Leveraging AI Tools for Trend Analysis

  • Applying Power BI AI visuals and smart narratives
  • Identifying trends and time-based insights
  • Forecasting using built-in analytics capabilities

BIM Data Integration

  • Exporting data from BIM tools (e.g., Revit, Navisworks)
  • Structuring BIM data for Power BI compatibility
  • Visualizing BIM-related metrics and model attributes

Publishing and Sharing

  • Deploying to Power BI Service
  • Managing workspaces and access permissions
  • Distributing reports internally and externally

Summary and Next Steps

Requirements

  • Foundational understanding of data structures and visualization concepts
  • Proficiency with Excel or similar data tools
  • Knowledge of BIM processes is beneficial but not mandatory

Target Audience

  • Managers in innovation and technology development
  • Data analysts specializing in construction or engineering data
  • BIM professionals aiming to enhance data reporting capabilities
 21 Hours

Need help picking the right course?
southafrica@nobleprog.co.za or +27 (0)10 005 5793

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

engagement with the attendees

Magdeline Matsie Mokonyane-Motha - Tshwane University of Technology
Course - PL-300T00: Microsoft Power BI Data Analyst

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