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Computer Science Data Science Course

Computer Science Data Science Course
from 4 to 360h flexible workload
certificate valid in your country

What will I learn?

The Computer Science Data Science Course provides a quick, practical route from raw data to dependable churn forecasts and retention plans. You will clean and prepare actual datasets, create effective behavioural and time-related features, compare and adjust models, manage imbalance, interpret outcomes using contemporary explainability methods, and convert model results into straightforward, verified actions and succinct reports prepared for rollout.

Elevify advantages

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 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 lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to change platforms... I'm grateful for everything you do, I've already recommended you to other people...
Giulio Carlo
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 Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

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