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.

4 to 360 hours of flexible workload
certificate valid 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 with reproducible code. You will run t-tests, chi-square and Fisher’s tests, fit linear regression 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
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