Perform fast and efficient data analysis with the power of SQL

A Quick, Interactive Approach to Learning Analytics with SQL

This repository contains SQL queries from various popular online learning resources e.g. Vertabelo Academy, SQLZoo etc.

Bu repository de, sql sorguları ile örnek veritabanları bulunmaktadır.

SQL QUERIES FROM Basic to Pro level in JUPYTER NOTEBOOK

A SQL-based fraud detection project using PostgreSQL to analyze transaction data for a bank and uncover high-risk behaviors, repeat offenders, and location-based anomalies.

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

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.

A collection of practical SQL exercises and queries designed to reinforce foundational database skills. Covers filtering, pattern matching, date operations, and real-world examples using Northwind and generic tables.

Learning about SQL commands

Master advanced SQL through real-world data analysis with Netflix and Zomato datasets.Work with complex queries utilizing JOINs, aggregation functions, GROUP BY, subqueries, CTEs, and window functions. Analyze popular content, cuisine preferences, revenue metrics, and operational performance.

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

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

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

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

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

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.

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

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

Northwind SQL repository