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Computer Science Data Science Course

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

What Will I Learn?

The Computer Science Data Science Course provides a swift, practical route from raw data to dependable churn forecasts and retention plans. You will cleanse and ready actual datasets, create effective behavioural and time-related features, assess and adjust models, manage imbalances, analyse outcomes using contemporary interpretability methods, and transform model results into straightforward, verified steps and succinct reports set for rollout.

Elevify Advantages

Develop Skills

  • Feature engineering for churn: construct potent, business-applicable predictors swiftly.
  • Data cleaning & EDA: rapidly convert raw product data into distinct churn understandings.
  • Model training & tuning: roll out sturdy churn models using suitable metrics.
  • Model explainability: apply SHAP and assessments to rely on and improve forecasts.
  • Business action from models: change churn scores into focused retention initiatives.

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 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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