Compilation of SQL data analysis related projects and challenges where I practice those skills.
- SQL Languages
- T-SQL
- MySQL
- SQL Server Management Studio
- DB Browser for SQLite
An exploration of using Mathematical Expressions and Aggregate Functions in SQL.
SQL allows you to use math in various ways. You can solve simple arithmetic problems, similar to using a calculator. SQL also enables you to perform complex analyses on real-world data, which can greatly influence business decisions. B-my understanding basic math operations and the order of operations, you can unlock a wide range of calculation possibilities. Additionally, when you combine these operations with aggregate functions, you can answer "what if" questions and gain insights that can aid in strategic planning or decision making. SQL offers a powerful toolset for analyzing data and making informed choices.
Credit for this tutorial goes to Digital Ocean
This data analysis project aimed at assisting Chinook Digital Music Store in optimizing business opportunities and addressing key business-related questions.It contains information about the artists, songs, and albums from the music shop, as well as information on the shop's employees, customers, and the customers purchases.
The AdventureWorks OLTP database is designed to support standard online transaction processing scenarios for a fictional bicycle manufacturer named Adventure Works Cycles. These scenarios span across Manufacturing, Sales, Purchasing, Product Management, Contact Management, and Human Resources. AdventureWorks is prominently featured in code examples within SQL Server Books Online and accompanying samples available for download from the Microsoft SQL Server Samples and Community Projects home page. The database schema is carefully crafted to showcase and emphasize the diverse features of SQL Server.
This repository has sales & order data for Northwind Traders, a fictitious gourmet food supplier, including information on customers, products, orders, shippers, and employees tables in .csv format.
This challenge was presented by Maven Analytics in May 2023