A MySQL implementation based on EcoEats, a MERN stack web application for a food waste management system.

Designing a relational database for Greenspot Grocer using MySQL Workbench.

sql sample data and queries I've created

ENSAE-ENSAI Formation Continue (Cepe)/OpenClassrooms Data Analyst 2022-2023 - Projet 3

This repo contains my SQL solutions for LeetCode problems. Each file includes a problem description, optimized SQL query, and explanations. The goal is to improve SQL skills, share knowledge, and collaborate. Feel free to explore, suggest improvements, or contribute! 🚀

Exploratory Data Analysis (EDA) of global CO₂ emissions for 2024 using MySQL. Analyzed total emissions, sector-wise and country-wise trends, and compared findings with 2023 data from external sources. Key insights include top emitting countries, sectors, and year-over-year changes.🚀

A relational database that was created with MySQL Workbench for managing work of the call center

Relational database application. The project amis to create a database for a social media X like Linkedin with the related queries, procedures and functions.

Meta Database Engineer Professional Certificate - Capstone Project

This repository is about designing a database model for Global Super Store. This project is the final project of the 7th course "Advanced Data Modeling" of Meta Database Engineer Professional Certificate on Coursera.

Projeto realizado com objetivo de conhecer mais a linguagem SQL, sendo mostrado no curso vários conceitos desde SELECT, CREATE e UPDATE até as formas de JOIN existentes no MySQL

Projeto com o objetivo de desenvolver habilidades na manipulação de dados através de queries SQL . Este projeto foi criado para avaliação final na seção 02 do módulo de Backend do Curso de Desenvolvimento Web na Trybe.

Projeto com o objetivo de revisar e e consolidar conceitos de normalização e execução de queries. Este projeto foi criado para avaliação final na seção 03 do módulo de Backend do Curso de Desenvolvimento Web na Trybe.

First time using MySQL to find data in a DataBase by using queries like SELECT, WHERE, LIKE, LIMIT, COUNT, ORDER BY and others.

By using MySQL Workbench, the challenge was about creating a normalized table and then execute queries like INNER JOIN, GROUP BY, ORDER BY, COUNT and DISTINCT.

This project was developed during the Back-end module at Trybe, using Docker, MySQL and MySQL Workbench.

This project was developed during the Back-end module at Trybe, using Docker, MySQL and MySQL Workbench.

A web application that provides protein-phenotype information through several reports from a personally engineered MySQL database