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Project-Based Data Science Course

Project-Based Data Science Course
flexible workload of 4 to 360h
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
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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