Description:
This project involves analyzing a dataset from a music store using SQL to derive insights and answer specific business questions. The dataset includes information about customers, purchases, albums, and tracks.
Steps Involved:
Data Exploration: Understand the structure and contents of the dataset.
Data Cleaning: Handle missing values, outliers, or any inconsistencies in the data.
SQL Queries: Write SQL queries to extract, transform, and analyze data to answer predefined questions.
Data Analysis: Perform aggregation, filtering, and joining operations to derive meaningful insights.
Tools and Technologies:
SQL: Used for querying the database and performing data manipulation.
Database Management System: MySQL for the dataset.
Rishabh Mishra's YouTube Channel: Leveraged for learning SQL techniques and best practices.
Conclusion:
Summarize the insights gained from the analysis and how they can be used to make data-driven decisions for the music store. Discuss any challenges faced during the project and how they were overcome.
By organizing this project details in this structured manner, It provides a clear understanding of what was accomplished, the tools and methodologies used, and the outcomes achieved through this music store data analysis using SQL.