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Repository containing portfolio of SQL projects completed by me for academic and independent study use.

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💡Faizan's SQL Portfolio

Welcome to my SQL Portfolio repository!! 🚀

This repository is a comprehensive collection of SQL case studies, solutions to problems from various platforms, and advanced projects, all designed to demonstrate my proficiency in SQL. 📊

📝 Table of Contents

  1. Overview

  2. Case Studies - 8 week SQL challenge

  3. Solutions by Platform

  4. Projects

  5. Takehome Challenges

  6. Usage Instructions

  7. Contribution Guidelines

  8. License

📊 Overview

This repository serves as a valuable resource for SQL practitioners, offering a variety of case studies, platform solutions, projects, and takehome challenges. Whether you're a beginner or an advanced user, these resources are designed to enhance your SQL skills through practical applications and complex problem-solving scenarios. 🎯

📚 Case Studies - 8 week SQL challenge

The 8 Week SQL Challenge by Danny Ma is a series of case studies designed to help you improve your SQL skills.

Each case study presents a real-world business scenario, and you are tasked with answering a series of questions using SQL queries. This repository contains my solutions to the challenges, along with some explanations and any additional resources used.

The solutions for each case study are provided in the respective case study folder. 🧩

📈 Solutions by Platform

This section includes SQL problems and solutions from 7 different platforms, each organized into directories.

Each platform directory is further divided into subdirectories based on the difficulty level : easy, medium, & hard 📝

The platforms include:

  1. DataLemur

  2. Leetcode

  3. Hackerrank

  4. Stratascratch

  5. Coding Ninjas

  6. Interview Bit

  7. Interview Query

📚 Projects

This section highlights a series of SQL projects showcasing various data analysis techniques and insights. Each project demonstrates proficiency in SQL query writing, data extraction, transformation, and analysis across different domains. 💡

These projects present unique challenges and opportunities for exploration, aiming to uncover actionable insights and provide data-driven recommendations. 📊

Below is a summary of the projects included in this repository:

Project Link Area of Analysis Project Description
🎧 Spotify Data 2023 Analysis Music data analysis, platform comparison, temporal trends Explore standout songs of 2023, analyze song characteristics, popularity metrics, and cross-platform presence. 🎵
🏪 Walmart Sales Analysis Sales trends, customer behavior, product performance Investigate Walmart sales data, analyze key branches, products, and customer behavior for sales strategy enhancement. 🛒
🍽️ Restaurant Ratings Analysis Restaurant performance, customer preferences, sentiment analysis Analyze restaurant ratings data to understand factors influencing ratings, with insights for performance enhancement. 🍽️

👩🏻‍💻 Usage Instructions

To explore the contents of this repository:

  1. Clone the repository:

    git clone https://github.com/faizanxmulla/sql-portfolio.git
  2. Navigate through the directories to find case studies, platform solutions, or projects of interest.

  3. Review the SQL queries and accompanying documentation to understand the problem-solving approaches and methodologies.

✏️ Contribution Guidelines

Contributions to this repository are welcome. 🚀

If you have suggestions for improvements, additional case studies, solutions, or projects, please follow these steps:

  1. Fork the repository.

  2. Create a new branch (git checkout -b feature-branch).

  3. Commit your changes with detailed messages (git commit -m 'Add detailed feature description').

  4. Push to the branch (git push origin feature-branch).

  5. Submit a pull request for review.

📄 License

This repository is licensed under the MIT License. Please see the LICENSE file for more details.

Support

Do ⭐ the repository, if it inspired you, gave you ideas of your own or helped you in any way !!

I hope you find these resources informative and useful for your SQL learning and application. Should you have any questions or feedback, feel free to reach out to me on LinkedIn. 🙌