Predictive Modeling Course
Master predictive modeling for customer spend. Learn data prep, feature engineering, model selection, validation, and interpretation to turn statistical skills into accurate forecasts and high-impact business decisions.
from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
This Predictive Modeling Course gives you a practical, end-to-end workflow for accurate spend prediction on customer-month data. You will define clear prediction targets, prevent data leakage, run thorough exploratory analysis, engineer robust temporal and behavioral features, and select, train, and validate linear and tree-based models with time-aware splits, business-focused metrics, and interpretable, deployment-ready outputs for marketing decisions.
Elevify advantages
Develop skills
- Data prep for spend prediction: clean, encode, and engineer high-signal features.
- Robust model training: select, tune, and ensemble linear and tree-based models.
- Time-aware validation: design leakage-safe splits, CV, and stability checks.
- Error and ROI evaluation: link MAE, lift, and calibration directly to revenue.
- Model storytelling: explain SHAP, limits, and next steps to nontechnical stakeholders.
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 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 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 FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.
André FelipePrompt Engineering Student
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