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Decision Tree Course

Decision Tree Course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

This course teaches you to create precise churn prediction models using raw customer data. You'll cover data ingestion, cleaning, feature engineering, data splitting methods, and metrics for imbalanced datasets. Hands-on practice includes decision trees, Random Forests, Gradient Boosted Trees, interpreting results with SHAP values, and converting predictions into practical retention strategies and experiments.

Elevify advantages

Develop skills

  • Prepare churn analysis data: clean, profile, and create business intelligence features efficiently.
  • Build and optimise decision trees and ensemble models for impactful churn predictions.
  • Handle imbalanced churn data using cross-validation, stratification, and class weighting.
  • Explain models clearly with SHAP, LIME, and feature importance for business storytelling.
  • Transform churn insights into targeted retention strategies and testing 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 lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you 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 help a lot with learning.
André Felipe
André FelipePrompt Engineering Student

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