https://github.com/tushar2704/sql-challenges
Collection of SQL challenges designed to demonstrate my skills and expertise in database management, data analysis, and data manipulation using SQL. This repository serves as a showcase of my abilities to handle complex SQL queries, optimize database performance, and solve real-world data problems.
https://github.com/tushar2704/sql-challenges
data-analytics data-mining data-science datamanipulation mysql postgresql sql
Last synced: 5 months ago
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Collection of SQL challenges designed to demonstrate my skills and expertise in database management, data analysis, and data manipulation using SQL. This repository serves as a showcase of my abilities to handle complex SQL queries, optimize database performance, and solve real-world data problems.
- Host: GitHub
- URL: https://github.com/tushar2704/sql-challenges
- Owner: tushar2704
- Created: 2023-06-07T11:27:42.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2023-07-03T16:37:00.000Z (about 2 years ago)
- Last Synced: 2024-12-27T08:16:39.011Z (7 months ago)
- Topics: data-analytics, data-mining, data-science, datamanipulation, mysql, postgresql, sql
- Homepage: https://www.tushar-aggarwal.com/
- Size: 9.77 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# SQL-Challenges
SQL-Challenges is a collection of SQL challenges designed to demonstrate my skills and expertise in database management, data analysis, and data manipulation using SQL. This repository serves as a showcase of my abilities to handle complex SQL queries, optimize database performance, and solve real-world data problems.
## Table of Contents
- [Features](#features)
- [Challenges](#challenges)
- [Installation](#installation)
- [Usage](#usage)
- [Contributing](#contributing)
- [License](#license)
## Features
- **Diverse Challenges:** Explore a wide range of SQL challenges, covering various aspects of database management, data analysis, and data manipulation.
- **Real-World Scenarios:** Solve challenges based on real-world scenarios to gain practical experience in SQL.
- **Detailed Solutions:** Each challenge comes with a detailed solution, explaining the thought process and steps involved in solving the problem.
- **Multiple Variations:** Choose from multiple challenge variations to test your skills at different difficulty levels.
- **Sample Datasets:** Utilize sample datasets provided with each challenge to analyze and manipulate the data effectively.
## Challenges
### Challenge 1: Sales Analysis
*Difficulty: Beginner*
This challenge focuses on analyzing sales data to derive valuable insights. It involves querying the database to answer questions related to sales performance, top-selling products, and customer behavior.
### Challenge 2: Employee Management
*Difficulty: Intermediate*
In this challenge, you'll be working with employee data to perform tasks such as managing hierarchical relationships, calculating employee performance metrics, and generating reports for the HR department.
## Installation
1. Clone the repository:
```bash
git clone https://github.com/your-username/SQL-Challenges.git
```
2. Navigate to the project directory:
```bash
cd SQL-Challenges
```
3. Set up your SQL environment and import the sample datasets provided with each challenge.
## Usage
Each challenge is organized in a separate directory and contains the following files:
- `challenge.sql`: SQL file containing the challenge description and the problem statement.
- `solution.sql`: SQL file containing the solution to the challenge.
- `data.csv`: Sample dataset required for the challenge.
To tackle a challenge:
1. Open the `challenge.sql` file of the desired challenge.
2. Read the challenge description and the problem statement.
3. Write your SQL queries to solve the problem.
4. Compare your solution with the provided `solution.sql` file.
5. Import the `data.csv` file into your SQL environment to test your queries against the sample dataset.
Feel free to explore different challenge variations and improve your SQL skills!
## Contributing
Contributions are welcome! If you'd like to enhance the existing challenges, add new challenges, or improve the documentation, please follow these steps:
1. Fork the repository.
2. Create a new branch.
3. Make your changes.
4. Commit your changes.
5. Push to the branch.
6. Open a pull request.
Please ensure your pull request follows the repository's [contributing guidelines](CONTRIBUTING.md).
## License
This project is licensed under the [MIT License](LICENSE). Feel free to use and modify the code as per your needs.
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Feel free to connect with me on [LinkedIn](https://www.linkedin.com/in/your-name) for any questions or collaborations.
**Let's dive into SQL challenges and unlock the power of data!**