Decision Tree Analysis Course
Master decision tree analysis for real-world cost prediction. Learn clean data prep, model tuning, class imbalance handling, AUC-ROC evaluation, and clear stakeholder communication to turn complex risk patterns into actionable business decisions.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Decision Tree Analysis Course shows you how to define a clear high_cost target, build transparent trees in Python or R, and tune key hyperparameters for reliable performance. You will handle missing data, class imbalance, and outliers, evaluate models with ROC, F1, and calibration tools, and communicate results, risk segmentation, and business-ready recommendations to non-technical stakeholders with confidence.
Elevify advantages
Develop skills
- Decision tree modeling: build interpretable CART models fast in R and Python.
- Performance tuning: optimize depth, pruning, and class weights for sharp metrics.
- Cost-sensitive evaluation: set thresholds using AUC, F1, and business impact.
- Transparent preprocessing: clean, encode, and engineer features for clear trees.
- Stakeholder reporting: turn tree outputs into concise pricing and risk insights.
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
Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to switch platforms... I thank you for everything you do, I've already recommended you to other people...
Giulio CarloDigital Marketing Student
I like how the lessons are 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 presentation style and video transcription, which speeds up the process!
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.
André FelipePrompt Engineering Student
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