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Data Analyticsintermediate

Solar Energy Data Analysis and Reporting with Power BI & MySQL

This project guides learners through building a comprehensive Power BI report using real-world solar energy data stored in a MySQL database. It covers the entire process, from data integration and transformation to in-depth analysis and visualization, culminating in actionable insights for sustainable energy investment.

29 lectures

What You Will Learn

Mastering the installation and configuration of Power BI Desktop and MySQL Server.
Implementing data integration techniques to connect Power BI with MySQL.
Performing data profiling and transformation using Power Query in Power BI.
Building interactive and visually appealing Power BI reports with multiple pages.
Analyzing solar energy data to generate insights on regional performance, ROI, and sustainability.
Evaluating investment efficiency and ranking regions based on key metrics.
Applying AI-assisted analysis techniques with ChatGPT for data exploration.

System Architecture

Solar Energy Data Analysis and Reporting with Power BI & MySQL Architecture Diagram

High-level architecture overview of the Solar Energy Data Analysis and Reporting with Power BI & MySQL .

What You'll Build

  • A fully functional MySQL database containing solar energy data.
  • A multi-page interactive Power BI report with key performance indicators (KPIs).
  • Visualizations for regional and city-level comparisons of solar energy production and ROI.
  • Sustainability dashboards showing CO2 reduction and solar viability scores.
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