Unlocking Music Data with SQL: Analyzing Genres, Popularity, and Danceability!

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In this video, we explore a fascinating SQL project focused on analyzing a music database to answer three key business questions. Using advanced SQL queries, we identify tracks from the most popular genre, analyze yearly track releases with their average popularity, and discover tracks with the lowest danceability among high-energy genres. This hands-on project is perfect for boosting your SQL skills while tackling real-world data challenges.

🕒 00:00 Introduction
🕒 00:23 Introduce Data
🕒 01:15 Answer Question 1: Which tracks belong to the most popular Genre?
🕒 10:07 Answer Question 2: How many tracks were released each year, and what is their average popularity?
🕒 15:21 Answer Question 3: Which track has the lowest danceability among genres with an energy greater than 0.7?

🧷 If you like, you can walk through the project's materials:
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