Decision Tree Course
Master decision trees, random forests, and gradient boosting to predict customer churn, explain drivers, and turn BI data into clear, revenue-focused actions with practical feature engineering, evaluation, and stakeholder-ready insights.

4 to 360 hours of flexible workload
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 Differentials
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 workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
FAQs
Who is Elevify? How does it work?
Do the courses have certificates?
Are the courses free?
What is the course workload?
What are the courses like?
How do the courses work?
What is the duration of the courses?
What is the cost or price of the courses?
What is an EAD or online course and how does it work?
PDF Course