🗄️ LeetCode SQL 50 | Personal Learning Repository

A personal repository to track and document my SQL learning journey using LeetCode SQL problems.
This repo is a collection of .sql solution files for each question in the LeetCode SQL 50 series, written and tested using MySQL, helping me build a strong foundation in database querying and design.

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📂 Repository Structure

📁 LeetCodeSQL50
└── 📄 .sql Files # SQL script solutions for LeetCode SQL 50 problems
└── 📄 README.md # Project documentation

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✨ What's Inside

• .sql scripts solving each LeetCode SQL problem (SQL50 series).
• Each file is named with the problem number according to Leetcode.
• Covers a variety of SQL concepts: SELECT queries, JOINs, aggregations, subqueries, etc.
• Solutions are added and updated regularly as I complete new problems.

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🛠️ Tools & Technologies

Tool/Platform	Purpose
MySQL 🐬	Local database engine used for writing and running SQL
GitHub 💻	Version control & project hosting
LeetCode ⚔️	Platform for hands-on SQL problem solving (SQL50 series)
YouTube 📺	Tutorials & walkthroughs to understand SQL concepts

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📈 Learning Goals

• Strengthen fundamentals in SQL and database concepts using practical problems.
• Practice writing efficient SQL queries and handling different data scenarios.
• Build a personal reference of solved SQL problems for interview preparation.
• Track and reflect on my progress in learning SQL over time.

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🚀 How to Use This Repo

1. Clone the repo:

   git clone https://github.com/Anushka-Sharma-008/LeetCodeSQL50.git

2. Navigate the files: Explore the .sql solution files for each problem.
3. Run the SQL scripts: Open the .sql files in any SQL environment and execute them against the sample database schema provided by LeetCode.

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🧠 Ideal For

• Beginners learning SQL query writing and database fundamentals.
• Students preparing for technical interviews that include SQL/database questions.
• Anyone revising core SQL concepts through hands-on practice.

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📌 Notes

• Solutions will be updated regularly as I complete more problems in the SQL50 series.
• SQL code is written for clarity and learning, and may not cover every edge case or optimization.
• Suggestions and feedback are welcome via GitHub Issues or Discussions.

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🙋‍♀️ Author

Anushka Sharma
🌐 LinkedIn • 🐱 GitHub 🎓 Currently learning Python, Data Science, and DSA

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⭐ Show Your Support

If this repo helped you or you find it relatable:

• ⭐ Star the repository
• 🍴 Fork it and document your own journey
• 💬 Drop a suggestion or comment!