Learn Data Science & Biostatistics with R and RStudio

R programming and RStudio to analyze health data with regression, statistical modeling, GIS maps, and visualization

Want to learn how to analyze real-world health or medical data using R and RStudio? This beginner-friendly course helps you master data science and biostatistics skills for research, thesis writing, and publications. Step by step, you’ll learn to clean data, run regressions, visualize results, and create publication-ready reports.

Learning R and RStudio can open doors to powerful data analysis, research, and publication opportunities — especially in public health and biostatistics.
This course is designed for students, researchers, and professionals who want to analyze health or biomedical data confidently and turn results into clear, professional reports.

You don’t need to be a coding expert. We’ll start from the basics and gradually move to real-world research examples.

What you’ll learn

• Understand the basics of R programming and RStudio interface

• Import, clean, and manage public health or clinical datasets

• Perform descriptive statistics and data visualization using ggplot2

• Build linear, logistic, Poisson, and log-binomial regression models

• Use gtsummary to create publication-ready tables for manuscripts or theses

• Interpret results and communicate findings clearly

• Export clean, reproducible tables and graphs for academic writing

By the end of this course, you’ll feel confident using R to analyze your data, whether you’re working on a BSc, MSc, or PhD project, or preparing a manuscript for publication.