DATA & SMART ANALYTICS
Library Usage Analytics
Analyse book issue/return data to identify popular categories, peak periods and overdue patterns.
LevelCollege / Intermediate
Duration3 Weeks
Components₹500–₹1,500 CodingMedium
Project overview
Analyse book issue/return data to identify popular categories, peak periods and overdue patterns.
Analyse book issue/return data to identify popular categories, peak periods and overdue patterns.
Components / materials required
✓Laptop
✓SQL + Power BI/Python
✓Library transaction dataset
What the project demonstrates
✓Popular books/categories
✓Borrowing trends
✓Overdue analysis
✓Student activity
Suggested build plan
01
SQL queries
Aggregate circulation data.
02
KPIs
Define usage metrics.
03
Dashboard
Build visual report.
Learning outcomes
✓Use SQL for analytics
✓Create operational KPIs
✓Identify usage patterns