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SQL

πŸ“Œ Overview

This repository contains SQL files that reflect my understanding of SQL and how I apply it to solve real-world problems and answer business-related questions. The focus is on writing clear, efficient queries and using data to generate meaningful insights.

The repository serves as a practical showcase of my SQL skills.


🧠 What This Repository Covers

  • Core SQL concepts and syntax
  • Querying and filtering data
  • Aggregations and grouping
  • Joins across multiple tables
  • Subqueries and nested queries
  • Using SQL to answer business questions
  • Translating business requirements into SQL logic

πŸ“‚ Repository Structure

The repository is organized into SQL files, each focused on specific topics or problem types, such as:

  • Practice queries
  • Problem-solving exercises
  • Business-style questions and answers
  • Exploratory data analysis using SQL

πŸ› οΈ Tools & Technologies

  • SQL

🎯 Purpose

The goals of this repository are to:

  • Demonstrate how SQL can be used to answer business questions
  • Build a reference for common SQL patterns and solutions
  • Showcase my analytical and problem-solving approach

πŸ“ˆ Example Business Questions Addressed

  • How do metrics change over time?
  • Which products or customers perform best?
  • How can data be grouped to uncover trends?
  • What insights can support better business decisions?

πŸš€ How to Use This Repository

  1. Browse the SQL files
  2. Run the queries in your own SQL environment
  3. Modify and experiment with the queries to deepen your understanding

πŸ“š Continuous Learning

This repository is continuously updated as I learn new SQL concepts and apply them to more complex datasets and business problems.


πŸ“¬ Feedback

Feedback and suggestions are welcome. Feel free to explore, fork, or use the queries for your own learning.

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

License

MIT

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Library of scripts to demonstrate knowledge of working with SQL Server

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