Advanced Statistics Course
This course equips learners with advanced statistical techniques for churn and retention analysis, focusing on predictive modeling, causal inference, and actionable business insights from user data.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
Master advanced churn and retention analysis with this focused course on real-world user data. Learn robust data cleaning, EDA, and feature engineering, then build calibrated predictive models with interpretable outputs. Deepen your causal inference skills for experiments, estimate heterogeneous treatment effects, and translate results into clear business recommendations, confident rollouts, and high-impact follow-up tests.
Elevify advantages
Develop skills
- Advanced churn modelling: build, tune, and interpret robust predictive models fast.
- Practical causal inference: estimate ATE, CATE, and uplift for real decisions.
- High-impact EDA: create clear retention and revenue insights for stakeholders.
- Clean production data: preprocess, encode, and validate user-level datasets quickly.
- Business-ready reporting: turn stats outputs into concise, executive-ready stories.
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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