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Computer Science Data Science Course

Computer Science Data Science Course
4 to 360 hours of flexible workload
valid certificate in your country

What Will I Learn?

The Computer Science Data Science Course gives you a fast, practical path from raw data to reliable churn predictions and retention strategies. You will clean and prepare real datasets, engineer powerful behavioral and time-based features, compare and tune models, handle imbalance, interpret results with modern explainability tools, and turn model outputs into clear, tested actions and concise reports ready for deployment.

Elevify Differentials

Develop Skills

  • Feature engineering for churn: build powerful, business-ready predictors fast.
  • Data cleaning & EDA: quickly turn raw product data into clear churn insights.
  • Model training & tuning: deploy robust churn models with the right metrics.
  • Model explainability: use SHAP and diagnostics to trust and refine predictions.
  • Business action from models: convert churn scores into targeted retention campaigns.

Suggested Summary

Before starting, you can change the chapters and 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 purchased 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 get 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 supplementary videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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