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Nonparametric Statistics Course

Nonparametric Statistics Course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

Learn key nonparametric techniques for uneven, zero-rich, and limited health results in this practical course. Cover sturdy estimators, rank tests, quantile regression, group methods, and useful effect measures. Practice data review, checks, bootstraps, permutation tests, and clear reporting for everyday health data problems.

Elevify advantages

Develop skills

  • Apply strong nonparametric tests like Wilcoxon, Kruskal-Wallis, and Dunn.
  • Set up bootstrap and permutation tests for skewed and zero-heavy health data.
  • Calculate reliable effect sizes such as Hodges-Lehmann, Cliff’s delta, and rank-biserial r.
  • Develop quantile and rank-based regression with category variables.
  • Create repeatable R/Python reports with strong tables, graphs, 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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EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company where I work.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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