Project-Based Data Science Course
This course provides hands-on experience in data science focused on churn prediction and retention strategies, covering data cleaning, feature engineering, analysis, modeling, and actionable implementation.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Project-based Data Science Course teaches you how to clean real user data, engineer powerful engagement and churn features, and run clear exploratory analysis with visualizations and statistics. You will build, validate, and interpret churn prediction models, then turn outputs into concrete retention experiments, KPIs, and action plans you can apply immediately to improve product performance and revenue.
Elevify advantages
Develop skills
- Data cleaning for churn: fix IDs, dates, missing values fast and reliably.
- Feature engineering: build RFM, monetization, and behavioral signals that predict churn.
- Exploratory analysis: visualize churn by segment and extract clear, usable insights.
- Churn modeling: train, validate, and calibrate models with business-ready metrics.
- Actionable data science: turn churn scores into A/B-tested retention and revenue wins.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I'm grateful for everything you do, I've already recommended you to other people...

Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.

André FelipePrompt Engineering Student
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