Chinook Music Store Analysis
Relational databases contain interconnected entities and business data that can be difficult to understand and analyze without first validating the underlying structure, data quality, and business logic.
This project follows a structured analytical workflow that starts with understanding the Chinook database schema, validates data quality and business logic, applies statistical and outlier analysis, and then transforms the findings into business-oriented insights and recommendations using SQL.
Demonstrates the complete analytical workflow of a Data Analyst, from database profiling and data validation to statistical analysis, business analysis, and actionable recommendations using a real-world relational database.
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