Hospital Database Management System (DBMS) is a comprehensive SQL project designed to streamline and optimize the management of hospital operations. This project aims to provide an efficient and user-friendly solution for storing, retrieving, and manipulating various types of healthcare-related data.

A repo where you can find important questions of DS-ALGO ,REACT and SQL Queries from Codeybyte .

Master SQL interview with ease! SQL tricky interview questions covers join operations, complex queries, and more. Stand out in your next interview!

Simple users API.

This implementation puts a twist on the Standard Treap (randomized search tree) in the sense that I add the idea of self-organizing data structures on top, To implement a Database (collection of rows that are somehow related) Indexing.

Data Analysis for Digital Music Store using SQL.

Advanced Sql Interview Questions that covers topics like CTE, Analytics Window Functions, Aggregation Functions, Subqueries these topics will help you to boost your interview questions

Hospital Database Management System (DBMS) is a comprehensive SQL project designed to streamline and optimize the management of hospital operations. This project aims to provide an efficient and user-friendly solution for storing, retrieving, and manipulating various types of healthcare-related data.

Using POWER BI to perform data visualization in different domains to show insights, trends and forecasts by using different datasets like excel, csv and SQL.

DataBase Building and SQL Practice

This is an exercise solving some SQL queries about "SuperStore" database.

A full API service for recipes. This application is built using Python, MSSQL Database, SQL Queries, Docker, and FastAPI providing a comprehensive solution for managing and sharing your recipes.

Analysis of HR Data from year 2000 to 2023 and providing valuable insights to the company

This repository gives you different SQL queries with syntax and examples that will help you to understand basic and advanced version of SQL query.

Used MySQL for getting the insights from the credit card data. To understand which gender and card category have a higher churn rate.

An SQL Analysis of Female Diabetic patients based on their health information.This dataset is originally from the National Institute of Diabetes and Digestive and Kidney Diseases.All patients here are females that are at least 21 years old of Pima Indian heritage.

Group 9's Database Management (CSE 412) Project - Air Quality Visualization

A mobile application that allows customers to browse, buy products and filter products based on category, and add liked products to their cart, the customer can increase, or decrease the quantity of the product or remove it from the cart, and the customer can locate his address using the map to receive the products

Integrated Data Analysis and Visualization Project for Employee Data using Python, and SQL.