R Statistics Course
This course equips clinicians with essential R skills for statistical analysis of health data, from cleaning and visualization to hypothesis testing and regression modeling.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This R Statistics Course teaches you how to import, clean, and validate health data, create derived variables, and handle missing values using reproducible code. You will conduct t-tests, chi-square and Fisher’s tests, fit linear regression models for blood pressure, check assumptions, and visualise results. Learn to export clear tables, plots, and plain-language summaries that support confident, transparent decisions.
Elevify advantages
Develop skills
- R data cleaning: quickly prepare clinical datasets with reproducible scripts.
- Descriptive stats in R: summarise health variables and build clear, sharp plots.
- Group tests in R: run t-tests, nonparametric options, and report effect sizes.
- Categorical analysis: chi-square, Fisher’s test, and association strength in R.
- Regression for clinicians: fit, diagnose, and explain blood pressure models in R.
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
Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...

Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.

André FelipePrompt Engineering Student
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