Python Statistical Modeling Course
Master Python statistical modeling to predict churn, build interpretable logistic and tree-based models, run A/B tests, and turn data into clear, actionable product and marketing decisions for real technology business impact.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
Master churn-focused statistical modeling with Python in this concise, hands-on course. You will load and profile data with pandas, clean and engineer powerful features, and run exploratory analysis to uncover key churn drivers. Then you will build and interpret logistic regression and tree-based models, evaluate performance, and turn results into clear reports, A/B tests, and deployment-ready, ethical recommendations that drive measurable impact.
Elevify advantages
Develop skills
- Build clean churn datasets: load, profile, and fix data fast with pandas.
- Engineer powerful churn features: sessions, cohorts, recency, and engagement.
- Fit and explain logistic models: Python pipelines, AUC, and clear odds ratios.
- Compare and tune models: tree ensembles, SHAP insights, and robust validation.
- Turn stats into action: A/B tests, dashboards, and concrete churn playbooks.
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 got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... I appreciate everything you do, I've already recommended you to others...

Giulio CarloDigital Marketing Student
I like how the lessons get 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 way the videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.

Giulio CarloPrompt Engineering Student
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