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Decision Tree Course

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

What will I learn?

The Decision Tree Course shows you how to build accurate churn prediction models from raw customer data. You will learn data ingestion, cleaning, feature engineering, splitting strategies, and evaluation metrics tailored to imbalanced churn. Then you practice decision trees, Random Forests, and Gradient Boosted Trees, interpret feature importance with SHAP, and turn model results into clear, actionable retention insights and experiments.

Elevify advantages

Develop skills

  • Churn-ready data prep: clean, profile, and engineer BI features fast.
  • Decision Trees & ensembles: build, tune, and compare high-impact churn models.
  • Imbalanced churn handling: apply CV, stratification, and class-weight tactics.
  • Model explainability: use SHAP, LIME, and feature importance for clear BI stories.
  • Actionable insights: turn churn drivers into targeted retention and test plans.

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

I was just promoted to Intelligence Advisor for the Prison System, and the Elevify course was crucial for me to be the chosen one.
EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company I work for.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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