User Engagement Dataset

Group: Dataset

Product Category: Database Design & Development

Sub Category: PostgreSQL

About this Product

Track listening trends, discover power users, and personalize experiences with structured, SQL-ready user engagement datasets.

Business Overview:

The User Engagement Dataset captures interaction behavior on a music streaming platform, including listening sessions, song likes, and playlist activity. Structured across multiple entities, this dataset is ideal for analyzing user retention, content engagement, and personalization signals.

Product Highlights:

Structured CSV datasets including users, songs, playlists, listening history, and likes
Ideal for modeling user behavior over time
Ready for advanced SQL filtering, JOINs, and aggregations
Suitable for building behavioral dashboards and personalization engines

Learning Outcomes:

By working with this dataset, you will:

Analyze listening trends and user engagement levels
Practice multi-table joins with playlists and listening history
Identify behavioral insights from liked songs and session data
Build features like top listeners and playlist activity analysis

Resources

1/6

user_listening_history

| CSV

Tracks every listening event by users, linking them to specific songs and timestamps. This file supports session analysis, listening trends, and behavioral modeling.

Key Features:

Granular data including user_id, song_id, and listen_date
Enables analysis of repeat listens, time-based usage, and user activity frequency
Ideal for calculating daily/weekly active users, retention curves, or song popularity

Enroll to Access

37% OFF

Topics: SQL, PostgreSQL, Behavioral Analytics

Languages: English

Skills: SQL, User Behavior Analysis, Playlist Tracking, Engagement Metrics, Business Intelligence

Business Domain: Media and Entertainment

Level: Intermediate

$1.60 $1.00

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