Advanced Statistics Course
Master advanced statistics for real business impact in Gambia contexts. Learn churn prediction, causal inference, uplift modelling, and interpretable ML to design better experiments, optimise retention, and transform complex user data into clear, revenue-focused decisions that drive growth.

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 in this focused course. Gain skills in robust data cleaning, exploratory data analysis, and feature engineering. Build calibrated predictive models with interpretable outputs. Enhance causal inference for experiments, estimate heterogeneous treatment effects, and convert results into clear business recommendations, confident rollouts, and high-impact follow-up tests suitable for practical applications.
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
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