Computer Science Data Science Course
This course equips learners with essential data science skills for churn prediction and retention strategies in computer science applications.

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

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 CarloPrompt Engineering Student
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