Advanced Statistics Course
Master advanced statistics for real business impact. Learn churn prediction, causal inference, uplift modeling, and interpretable ML to design better experiments, optimize retention, and turn complex user data into clear, revenue-focused decisions. This course equips you with practical tools to analyze user data, build predictive models, and deliver actionable insights that drive retention and revenue growth in real-world scenarios.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Master advanced churn and retention analysis using real-world user data. Gain skills in robust data cleaning, exploratory data analysis, and feature engineering. Build calibrated predictive models with interpretable results. Enhance causal inference for experiments, estimate heterogeneous treatment effects, and convert findings into clear business recommendations for confident rollouts and high-impact tests.
Elevify advantages
Develop skills
- Advanced churn modeling: 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 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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