R Statistics Course
This course equips clinicians with essential R programming skills for statistical analysis of health data, covering data preparation, descriptive statistics, hypothesis testing, categorical data analysis, and linear 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 bring in, clean up, and check health data, make new variables, and deal with missing values using code that can be run again. You will do t-tests, chi-square and Fisher’s tests, fit linear regression for blood pressure, check the assumptions, and show the results. Learn to send out clear tables, plots, and simple summaries that help make sure decisions with confidence and openness.
Elevify advantages
Develop skills
- R data cleaning: quickly get clinical datasets ready with scripts that can be run again.
- Descriptive stats in R: sum up health variables and make clear, sharp plots.
- Group tests in R: run t-tests, nonparametric choices, 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 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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