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This repository is crafted to help you build a robust foundation in SQL, from basic querying to advanced data manipulation. Through easy-to-follow tutorials, exercises, and real-world projects, you'll not only learn SQL but also understand how to apply it in various data-driven scenarios.

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πŸ—ƒοΈ Data Seekho: SQL Basics and Beyond πŸš€

Welcome to Data Seekho: SQL Basics and Beyond! This repository is crafted to help you build a robust foundation in SQL, from basic querying to advanced data manipulation. Through easy-to-follow tutorials, exercises, and real-world projects, you'll not only learn SQL but also understand how to apply it in various data-driven scenarios. Perfect for students, professionals, and curious minds alike! Star ⭐ this repository if you find it helpful, and share it with others who might benefit from learning SQL!


πŸ† Data Seekho Mission & Vision

At Data Seekho, founded by Muhammad Usama Hameed, our mission is to empower πŸŽ“ 1 Million students by offering high-quality, accessible education in SQL, Data Science, Analytics, and beyond. We aim to equip learners with the skills, resources, and mentorship needed to excel and join the top 1% in their field.


πŸ—‚οΈ Table of Contents

  1. Introduction
  2. Key Features
  3. Installation Guide
  4. How to Get Started
  5. Project Structure
  6. Contributing
  7. Join Data Seekho Community
  8. License

πŸ”° Introduction

SQL (Structured Query Language) is the backbone of data handling in databases, essential for data retrieval, manipulation, and management in the data science and analytics domains. This repository is tailored to help you learn SQL effectively, with a structured approach that grows with your skill level.

Designed for:

  • πŸ†• Beginners with no prior database knowledge.
  • 🧠 Intermediate learners wanting to solidify their SQL skills.
  • πŸ” Professionals applying SQL in data-centric roles.

Take your first steps into SQL and join the world of data-driven insights!


πŸš€ Key Features

  • Beginner-Friendly: Step-by-step lessons designed for SQL novices.
  • Hands-On Practice: Practical exercises and queries to reinforce learning.
  • Layered Learning: Start with basics and progress to complex SQL concepts.
  • Advanced Scenarios: Explore more intricate SQL practices and data transformations.
  • Community Support: Access guidance and resources through Data Seekho’s community.

πŸ› οΈ Installation Guide

Get started with SQL quickly! Follow these steps to set up SQL on your local machine:

1️⃣ Install SQL

If you don't already have a SQL server (like MySQL or PostgreSQL), download and install one of your choice:

2️⃣ Clone the Repository

Use Git to clone this repository to your local machine:

git clone https://github.com/your-username/sql-basics-and-beyond.git

3️⃣ Navigate to the Project Directory

After cloning, navigate to the project folder:

cd data-seekho-sql-basics-and-beyond

4️⃣ Set Up Sample Database (Optional but Recommended)

The repository includes SQL scripts to set up a sample database. Load this into your SQL server to follow along with examples:

source setup_sample_database.sql

🚦 How to Get Started?

Step 1: Begin with Basic Queries

Start by exploring the basic-queries folder, which covers fundamental SQL operations like SELECT, WHERE, and basic filtering.

To execute your first SQL query:

SELECT * FROM DataSeekho;

Step 2: Move on to Intermediate Queries

Progress to more complex operations in the intermediate-queries folder, covering JOINs, subqueries, and functions.

Step 3: Dive into Real-World Projects 🌐

In the projects folder, you'll find real-world scenarios to apply your SQL skills, such as:

  • πŸ“ˆ Sales Data Analysis
  • 🏒 Employee Management System
  • πŸ“Š Marketing Campaign Insights

πŸ—οΈ Project Structure

Navigate through the project with ease using this directory layout:

πŸ“‚ sql-basics-and-beyond/
β”œβ”€β”€ πŸ“„ README.md                               # Overview, setup instructions, and project goals
β”œβ”€β”€ πŸ“˜ lectures/                               # Notebooks covering SQL concepts (from basics to advanced)
β”‚   β”œβ”€β”€ πŸ“ session1_intro.sql                  # SQL basics, such as SELECT, WHERE, and ORDER BY
β”‚   β”œβ”€β”€ πŸ“ session2_intermediate.sql           # Topics like JOINs, subqueries, and aggregations
β”‚   β”œβ”€β”€ πŸ“ session3_advanced.sql               # Advanced topics like window functions and stored procedures
β”‚   └── πŸ“ session4_extras.sql                 # Additional key SQL concepts and best practices
β”œβ”€β”€ πŸ‹οΈ exercises/                              # Practice exercises to reinforce each concept
β”‚   β”œβ”€β”€ πŸ₯‡ basic/                              # Introductory exercises for SQL basics
β”‚   β”œβ”€β”€ πŸ₯ˆ intermediate/                       # Intermediate exercises on JOINs, subqueries, and aggregation
β”‚   └── πŸ₯‡ advanced/                           # In-depth exercises on window functions, CTEs, and more
β”œβ”€β”€ 🌐 projects/                               # Real-world projects using SQL for data analysis
β”‚   β”œβ”€β”€ πŸ“Š sales_analysis_project.sql          # Analyze sales data for insights
β”‚   β”œβ”€β”€ 🌦️ weather_data_project.sql            # Perform data analysis on weather data
β”‚   └── πŸ“ˆ customer_retention_project.sql      # Calculate customer retention metrics
β”œβ”€β”€ βœ… tests/                                  # Unit tests to check and validate solutions
β”‚   β”œβ”€β”€ πŸ§ͺ test_basic.sql                      # Tests for basic SQL commands
β”‚   β”œβ”€β”€ πŸ§ͺ test_intermediate.sql               # Tests for intermediate SQL queries
β”‚   └── πŸ§ͺ test_projects.sql                   # Validation for SQL-based project results
β”œβ”€β”€ πŸ“– resources/                              # Additional learning resources for SQL
β”‚   β”œβ”€β”€ πŸ“š tutorials.md                        # Curated list of tutorials and SQL references
β”‚   β”œβ”€β”€ πŸŽ₯ videos.md                           # Recommended video content on SQL concepts
β”‚   β”œβ”€β”€ πŸ“ blogs.md                            # Articles and blogs for deepening SQL knowledge
β”œβ”€β”€ πŸ”– cheat_sheets/                           # Quick reference guides for SQL syntax
β”‚   β”œβ”€β”€ 🧾 sql_syntax.md                       # Key SQL commands and syntax
β”‚   β”œβ”€β”€ πŸ“š functions.md                        # Cheat sheet of essential SQL functions (COUNT, SUM, etc.)
└── πŸ“œ LICENSE                                 # Licensing information for open-source use

🀝 Contributing

Contributions are always welcome! Whether you're fixing a bug, adding new exercises, or improving documentation, your help is valuable.

How to Contribute:

  1. Fork this repository.
  2. Create a branch:
    git checkout -b feature/YourFeature
  3. Commit your changes:
    git commit -m "Add YourFeature"
  4. Push to your branch:
    git push origin feature/YourFeature
  5. Open a pull request, and we’ll review it!

🌍 Join Data Seekho Community

Become part of Data Seekho’s community and gain access to:

  • πŸ“š Exclusive learning resources
  • πŸ‘¨β€πŸ« Mentorship from industry experts
  • πŸ”— Networking opportunities with other learners

Follow us to stay updated:


πŸ“œ License

This repository is licensed under the MIT License. Feel free to use, modify, and distribute the content, but please provide appropriate attribution. See the LICENSE file for details.

MIT License

Copyright (c) 2024 Data Seekho

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

Happy Data Seekho Querying with SQL!

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This repository is crafted to help you build a robust foundation in SQL, from basic querying to advanced data manipulation. Through easy-to-follow tutorials, exercises, and real-world projects, you'll not only learn SQL but also understand how to apply it in various data-driven scenarios.

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