Welcome to my repository of LeetCode SQL + Data Analytics coding solutions.
I’m documenting my learning journey as I transition to Data Analytics.
Each problem includes:
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Problem statement (with link)
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SQL/Python solution
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Explanation of approach
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Complexity analysis (if relevant)
Easy - Beginner-friendly problems
Medium - More complex queries with joins, subqueries, aggregations
Hard - Advanced optimization, window functions, analytics challenges
Easy
- Title Solution Explanation
- 1757 Recyclable and Low Fat Products SQL Simple WHERE clause filtering
Medium
- Title Solution Explanation
- 183 Customers Who Never Order SQL Demonstrates LEFT JOIN + filtering
Hard
- Title Solution Explanation
- SQL (MySQL, PostgreSQL)
- Python (Pandas, NumPy for analytics)
- Jupyter Notebooks (for hybrid data projects)
- Power BI / Tableau (for visualization projects)
- Build a solid foundation in SQL & analytics problem-solving
- Showcase real-world data projects & dashboards
- Transition into Data Analytics → Analytics Engineering career path
- git clone https://github.com/your-username/leetcode-sql-solutions.git
- Navigate to the folder for difficulty level.
- Run the .sql file in MySQL/PostgreSQL to test.
- Add 20+ SQL problems (Easy → Hard)
- Document approaches clearly
- Expand repo with Python data analysis challenges
- Add Power BI/Tableau dashboards from real datasets
This repo will evolve into my Data Analytics portfolio, combining:
- LeetCode SQL problems
- Data cleaning/analysis in Python
- Interactive dashboards