Digital Music Store data analysis using SQL
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Updated
Aug 1, 2024
Digital Music Store data analysis using SQL
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.
A project focuses on analyzing music store data using SQL 🎧
Digital Music Store data analysis using SQL
Digital Music Store data analysis using SQL
Digital Music Store data analysis using SQL
Digital Music Store data analysis using SQL
A beginner-to-intermediate SQL project analyzing the Chinook Music Store database. This repository explores sales patterns, customer behavior, and genre popularity using queries JOINs and aggregations to answer key business.
Digital Music Store data analysis using SQL
End-to-end SQL project on sales data analysis using PostgreSQL and AWS RDS | Includes EDA, insights, and cloud deployment.
Digital Music Store data analysis using SQL
A project focuses on analyzing music store data using SQL ♬
Digital Music Store data analysis using SQL
A SQL project analyzing a music store database, covering customer behavior, sales trends, and artist/genre popularity. Includes advanced queries to generate insights into revenue, customer demographics, and top-performing tracks, albums, and artists.
SQL project to analyze online music store data
This project focuses on analyzing the Chinook Digital Music Store database to uncover business insights and help optimize business opportunities by answering key data-driven questions.
This project aims to perform in-depth data analysis of a fictional music store using Structured Query Language (SQL). The dataset is modeled after a music retail environment, encompassing entities such as customers, employees, artists, albums, tracks, genres, invoices, and playlists.
Digital Music Store data analysis using SQL
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