This project demonstrates end-to-end data analysis of an online bookstore using SQL. It covers data modeling, importing CSV files into PostgreSQL, and writing queries for business intelligence insights. The project showcases skills in SQL querying, joins, aggregation, window functions, and real-world data problem-solving.

SQL laboratory project demonstrating table classification, aggregation, filtering with GROUP BY / HAVING, and relational joins including self-joins, multiple joins, and equi-joins using a personnel management database (Databases I, UNIWA).

In this repository, there are database creation and query commands with sql server.

This is some self-learning repo including some CNN, data scraping and so on

use insert, create, select, delete, update, having ,order by, group by clause and also use window functions

This repository consists of my solutions to the queries provided by the sql-practice.com.

SQL Where Clause, Group by , Having, Order by , Functions

SQL QUERIES FROM Basic to Pro level in JUPYTER NOTEBOOK

This repository contains text files that cover various concepts and functionalities in MySQL. Each file provides detailed explanations and examples, making it a valuable resource for learning and reference.

SQLite Project

In this exercise we will analyze the 'Life Expectancy' dataset using the SQL language.

A comprehensive guide to mastering SQL, covering topics from basic commands to advanced techniques. This repository includes practical SQL examples, sample data files, and visual aids

This repository contains my SQL practice exercises solved on Kaggle, covering both standard SQL and Google BigQuery SQL.

Structured practice and projects to master SQL from basics to advanced.

SQLite project

SQL - Structured Query Language

SQL practice environment based on the Sakila sample database (MySQL) for learning and experimenting with SQL queries; containerized with Docker Compose for seamless setup.

Northwind SQL repository

This 2011 census SQL project employed COUNT, SUM, AVG, GROUP BY, HAVING, ORDER BY, LIMIT, RANK(), and LIKE for aggregations, analyses, and filtering. It offers a concise overview of India's demographic trends, showcasing SQL's versatility for data exploration.

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