This Power BI dashboard analyses student demographics, learning preferences, and AI tool usage to uncover trends in how students interact with artificial intelligence in their studies.
The dashboard is designed to provide interactive insights through visualisations, KPIs, and filters, allowing users to explore the data by age, degree programme, work mode, and programming language.
- Analyse student demographics.
- Understand AI usage across different degree programmes.
- Identify trends in programming language preferences.
- Compare AI usage by work mode.
- Build an interactive dashboard using Power BI.
- Total Students KPI
- Average AI Usage KPI
- Degree Distribution
- Age Distribution
- Work Mode Analysis
- Gender Distribution
- Age Groups
- Degree Programme Breakdown
- Programming Language Preferences
- AI Usage by Degree
- AI Usage by Work Mode
- Interactive filtering
- Key insights
- Power BI
- Microsoft Excel
- Data Modelling
- Data Cleaning
- Data Modelling
- Interactive Dashboard Design
- Data Visualisation
- KPI Development
- Business Intelligence Reporting
- Storytelling with Data
The dashboard uses a publicly available student AI usage dataset for educational and portfolio purposes.
- AI adoption varies across different degree programmes.
- Remote students demonstrate higher AI usage than onsite learners.
- Python is the most commonly used programming language.
- Students aged 20–23 represent the largest demographic group.
I'm an aspiring Data Analyst with experience in SQL, Power BI, Excel, and data visualisation. This project demonstrates my ability to transform raw data into meaningful business insights through interactive dashboards.
- LinkedIn: www.linkedin.com/in/nana-poku-b07799133