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Nonparametric Statistics Course

Nonparametric Statistics Course
4 to 360 hours of flexible workload
certificate valid in your country

What Will I Learn?

Gain expertise in nonparametric techniques for handling skewed, zero-inflated, and censored data in clinical settings through this practical course. You will explore robust estimators, rank tests, quantile regression, cluster methods, and effect sizes, while applying EDA, bootstrapping, permutation tests, and reproducible reporting for real clinical challenges.

Elevify Advantages

Develop Skills

  • Apply robust nonparametric tests including Wilcoxon, Kruskal-Wallis, and Dunn tests.
  • Design bootstrap and permutation analyses tailored for skewed and zero-heavy clinical data.
  • Calculate robust effect sizes such as Hodges-Lehmann, Cliff’s delta, and rank-biserial r.
  • Develop quantile and rank-based regression models incorporating categorical covariates.
  • Generate reproducible R/Python reports featuring robust tables, plots, and code.

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

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Great course. Lots of valuable information.
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