π A collection of real-life SQL case studies with solutions and optimized queries for analytics and problem-solving.
This repository contains structured SQL case studies inspired by real-world scenarios such as fraud detection, customer analytics, banking systems, and more.
Each case study includes:
- Problem statement
- Normalized schema design
- Functional and multivalued dependencies
- SQL queries with solutions
- Explanations for approaches
The goal is to practice SQL for Data Engineering, Analytics, and Problem Solving while tackling real-world challenges.
-
Banking Fraud Detection & Customer Analytics
Detect suspicious transactions, analyze customer spending behavior, and identify unusual patterns. -
Retail Sales Analytics (upcoming)
Product performance tracking, customer segmentation, and revenue optimization. -
Healthcare Data Analysis (upcoming)
Patient trends, hospital resource allocation, and predictive insights.
- Database: MySQL (compatible with PostgreSQL & other SQL engines)
- Concepts: Normalization, Functional Dependencies, Multivalued Dependencies, Window Functions, Ranking, Aggregations
- Students learning SQL with real-world applications
- Data Engineers & Analysts practicing advanced SQL queries
- Developers preparing for case study-based interviews
Contributions are welcome! If youβd like to add a new case study:
- Fork the repo
- Create a new folder with schema, queries, and README
- Open a pull request
This repository is licensed under the MIT License β free to use, share, and modify.