SQL-for-Data-Analysis-Understanding-the-Fundamentals

This repository offers learning materials and examples of SQL for data analysis. This resource will help you master the foundations of SQL and apply it to real-world data analysis jobs, whether you are a beginner or an experienced data analyst. The repository is part of the YouTube series "SQL for Data Analysis: Understanding the Fundamentals," presented by Pollynz DataTech.

Table of Contents

• About
• Getting Started
• Features
• Usage
• Contributing
• License

About

SQL (Structured Query Language) is a strong database management and querying technology. This repository is intended to give you the information and resources you need to:

• Understand SQL fundamentals.
• Write SQL queries to retrieve, filter, and manipulate data.
• Apply SQL to practical data analysis scenarios.

Getting Started

To get started with SQL for data analysis, you'll need the following:

1. Database Management System: Install a DBMS of your choice (e.g., MySQL, PostgreSQL, SQLite).

2. Clone or Download: Clone this repository or download the contents to your local machine.

3. Resources: Explore the example SQL queries, datasets, and tutorials in the repository.

Features

• SQL Examples: Real-world SQL queries and examples for various data analysis tasks.

• Datasets: Sample datasets for practicing SQL queries.

• Tutorials: Step-by-step tutorials to guide you through the learning process with a YouTube video can also be found @PollynzDataTech.

• Contributor-Friendly: Open to contributions, suggestions, and improvements. Feel free to make a pull request.

Usage

The contents in this repository can be used for self-paced learning, education, or as a reference when working on data analysis projects. Here's how to get started:

1. Explore the examples folder for SQL query examples.

2. Execute the “create table” and “insert scripts” to get the sample datasets.

3. Follow the tutorials in YouTube at Pollynz DataTech to learn SQL concepts.

Contributing

If you want to contribute to this project, feel free to:

• Fork the repository.
• Create a new branch for your feature or improvement.
• Make your changes.
• Submit a pull request.

Your contributions are highly appreciated!

License

This project is licensed under the MIT License - see the LICENSE.md file for details.