RStudio Crash Course for Biostatistics and Epidemiology

RStudio Crash Course for Biostatistics and Epidemiology is designed for MSc/MPH/PhD students, public health researchers, and anyone who wants to analyze health data quickly and correctly using R and RStudio. If you are planning to publish a paper, write a thesis, or prepare a research report, this course will guide you step-by-step with practical examples.

You will start from the basics: setting up R and RStudio, understanding the interface, using projects, scripts, and packages. Then we move into real research workflows—importing data (Excel/CSV), cleaning and recoding variables, handling missing values, and creating analysis-ready datasets using tidyverse tools.

Next, you will learn how to create clear tables and plots for reports and manuscripts (descriptive statistics, cross-tabulation, and visualization). The core focus is epidemiologic analysis: regression models and interpretation. You will learn how to estimate and interpret Odds Ratios (OR) using logistic regression, and Risk Ratios (RR) using log-binomial/Poisson approaches, including how to present results with 95% confidence intervals and p-values.

By the end of the course, you will be able to run a complete analysis workflow in RStudio and produce publication-ready outputs confidently.

Who this course is for: MSc/MPH/PhD students, researchers, and professionals in public health, biostatistics, epidemiology, and social science.