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Python Statistical Modeling Course

Python Statistical Modeling Course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

Gain expertise in churn prediction using statistical models in Python. Learn to load and analyse data with pandas, engineer key features, perform exploratory analysis to identify churn factors, build logistic regression and tree-based models, evaluate them, and create reports, A/B tests, and ethical recommendations for business impact.

Elevify advantages

Develop skills

  • Prepare churn datasets efficiently using pandas for loading, profiling, and cleaning.
  • Create effective churn features like sessions, cohorts, recency, and engagement metrics.
  • Develop and interpret logistic regression models with pipelines, AUC, and odds ratios.
  • Evaluate and optimise tree-based models using SHAP and validation techniques.
  • Convert statistical results into A/B tests, dashboards, and practical churn strategies.

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.
Workload: between 4 and 360 hours

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 Carlo
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 Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the supplementary videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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