SQL Swiss Army Knife - Engine for Diverse Data Sources

Examples of SQL queries created for Customer and Sales Data Analysis study project

A collection of SQL-based data analytics projects demonstrating techniques for data extraction, transformation, analysis, and visualization. These projects showcase practical SQL queries and insights across various domains, including sales, customer segmentation, and employee attrition analysis.

Statistical analysis of healthcare dataset.

Instagram user Analytics

Supply chain dataset focused on analyzing key metrics in manufacturing or production.

Here I will be uploading sql query sheets along with db for people to understand sql fro data analysis

This repository has a set of projects and exercises that showcases my skills as a Data Professional, who is comfy in data analysis and science using MS SQL, MS EXCEL, TABLEAU, MS POWERBI and PYTHON.

In this project, I cleaned up a large FIFA 2021 dataset with 18,000+ player records. The data was messy, with inconsistencies in 77 columns. I focused on making the data consistent and usable for analysis. This repository documents my step-by-step process, demonstrating how I transformed the data into a clean format.

This project explores video game sales data from 1977 to 2020 using PostgreSQL

Query the Chinook Database to help the team at Chinook music store understand the media in their store, their customers and employees, and their invoices information

Hospital data Analysis using SQL

The housing SQL data undergoes ETL (Extract, Transform, Load) processes to integrate and process the information. The data is extracted from various sources, transformed to ensure quality, and loaded into a SQL database. This enables data-driven decision-making in the real estate industry, providing insights into housing trends and property values.

Data analysis project for Career Foundry. The client - Rockbuster Stealth - is a company that provides movies and TV services, and they are looking to offer a new product..

The COVID-19 Data Analysis Project aims to analyze and gain insights from the vast amount of data collected during the global COVID-19 pandemic. Leveraging SQL, the project involves designing a database schema, extracting relevant data, and conducting a comprehensive analysis to uncover patterns, trends, and correlations related to the impact

SQL Challenge