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Decision Tree Analysis Course

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

What Will I Learn?

This Decision Tree Analysis Course teaches you how to set a clear high-cost target, construct transparent trees using Python or R, and adjust key hyperparameters for dependable performance. You will manage missing data, class imbalance, and outliers, assess models with ROC, F1, and calibration methods, and present results, risk segmentation, and business-ready recommendations to non-technical stakeholders confidently.

Elevify Advantages

Develop Skills

  • Decision tree modelling: build interpretable CART models quickly in R and Python.
  • Performance tuning: optimise depth, pruning, and class weights for precise metrics.
  • Cost-sensitive evaluation: establish thresholds using AUC, F1, and business impact.
  • Transparent preprocessing: clean, encode, and engineer features for clear trees.
  • Stakeholder reporting: convert tree outputs into concise pricing and risk insights.

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 course from Elevify 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
Great course. Lots of valuable information.
WiltonCivil Firefighter

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