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Predictive Modeling Course

Predictive Modeling Course
flexible workload from 4 to 360h
valid certificate in your country

What will I learn?

This Predictive Modelling Course provides a practical, complete workflow for accurate spend forecasting using customer-month data. You will set clear prediction goals, avoid data leakage, conduct detailed exploratory analysis, create strong time-based and behaviour features, and choose, train, and validate linear and tree-based models using time-sensitive splits, business-oriented metrics, and clear, ready-to-deploy results for marketing choices.

Elevify advantages

Develop skills

  • Data preparation for spend prediction: clean, encode, and create high-value features.
  • Strong model training: select, adjust, and combine linear and tree-based models.
  • Time-sensitive validation: plan splits that prevent leakage, cross-validation, and stability tests.
  • Error and ROI assessment: connect MAE, lift, and calibration straight to revenue.
  • Model explanation: describe SHAP, limitations, and next actions to non-technical people.

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.
Workload: between 4 and 360 hours

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 Carlo
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 Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.
André Felipe
André FelipePrompt Engineering Student

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