Course Overview

A hands-on workshop designed to equip research scholars with the skills to analyze, visualize, and communicate data using Microsoft Power BI. The course emphasizes transforming raw datasets into interactive dashboards, enabling evidence-based insights for theses, dissertations, and publications.

Learning Outcomes

• Import, clean, and prepare research data in Power BI.
• Build interactive dashboards and visual reports for academic datasets.
• Apply DAX functions for advanced calculations and modeling.
• Create visualizations (charts, maps, KPIs) tailored for research reporting.
• Integrate Power BI with Excel, SPSS, and other research tools.
• Publish and share dashboards for collaborative research projects.
• Leverage AI-driven insights and natural language queries in Power BI.
• Use Power BI for bibliometric, survey, and experimental data analysis.

Tools & Resources

• Core Tool: Microsoft Power BI Desktop & Service.
• Data Sources: Excel, CSV, SPSS output, SQL databases, Web APIs.
• Extensions: DAX Studio, Power Query, R/Python integration.
• AI Support: ChatGPT for DAX formula generation, visualization recommendations, and report automation.