Project overview
In this project, you’ll assume the role of a data analyst for the Chinook record store. You’ll use advanced SQL queries to extract data from the store’s database, then employ Python and pandas to create visualizations and written analyses that answer crucial business questions.
This project will solidify your SQL skills in a real-world context, challenging you to write complex queries with multiple joins, subqueries, set operations, and aggregate functions. You’ll also gain experience interpreting query results and communicating insights through visualizations and clear, professional writing.
Objective: Analyze the Chinook record store’s data using SQL and Python to provide data-driven answers to key business questions and recommend actionable strategies.
Key skill required
To complete this project, it's recommended to build these foundational skills in SQL
- Joining data across tables using SQL joins
- Writing complex SQL queries to analyze data
- Organizing SQL queries to enhance readability
- Querying SQLite databases using Python
Projects steps
Step 1: Introduction and Schema Diagram
Step 2: Overview of the Data
Step 3: Selecting Albums to Purchase
Step 4: Analyzing Employee Sales Performance
Step 5: Analyzing Sales by Country
Step 6: Albums vs Individual Tracks
Step 7: Next Steps
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