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Course Outline

Introduction to Power BI

  • An overview of Power BI Desktop and the Power BI Service
  • Practical use cases in engineering, construction, and BIM sectors
  • Understanding the architectural components of Power BI

Data Retrieval and Connectivity

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

Data Preparation and Modeling

  • Transforming raw data using Power Query
  • Defining relationships between distinct datasets
  • Constructing reusable data models for efficiency

Creating Visual Reports

  • Designing dashboards featuring charts, maps, and tabular data
  • Implementing drill-through capabilities and filter-based interactions
  • Applying custom visuals and adhering to design best practices

Leveraging AI Tools for Trend Analysis

  • Utilizing Power BI AI visuals and intelligent narrative features
  • Detecting trends and generating time-based insights
  • Performing forecasts using built-in analytical tools

BIM Data Integration

  • Exporting data from BIM software (e.g., Revit, Navisworks)
  • Structuring BIM data to ensure compatibility with Power BI
  • Visualizing BIM-specific metrics and model attributes

Publishing and Distribution

  • Deploying reports to the Power BI Service
  • Managing workspaces and user access permissions
  • Sharing reports with internal and external stakeholders

Conclusion and Future Steps

Requirements

  • A solid grasp of data structures and visualization principles
  • Practical experience with Excel or comparable software tools
  • Knowledge of BIM workflows is advantageous, though not mandatory

Target Audience

  • Managers focused on innovation and technology development
  • Data analysts handling construction or engineering datasets
  • BIM specialists aiming to refine their 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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