Predictive Modeling Course
This course teaches practical predictive modeling for customer spend prediction, covering data preparation, model training, validation, evaluation, and communication.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Predictive Modelling Course provides a practical, end-to-end workflow for accurate spend prediction on customer-month data. You will define clear prediction targets, prevent data leakage, conduct thorough exploratory analysis, engineer robust temporal and behavioural 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 the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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