R Statistics Course
This course teaches essential R programming skills for statistical analysis in health and clinical research, covering data preparation, hypothesis testing, regression modeling, and visualization techniques to support evidence-based decision-making.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This R Statistics Course shows 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 visualize 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: summarize 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 are saying
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