Statistical Analysis with R for Public Health

A statistics foundation built for real health data

This Imperial College London specialization teaches statistical thinking using R, the open-source language public health researchers rely on daily. Rather than abstract formulas, it grounds hypothesis testing, probability distributions, and sampling methods in the kind of data you'd actually encounter analyzing health outcomes.

Who it's for

Set at a beginner level, it suits anyone entering epidemiology, health policy, or research roles who needs to move from reading statistics to producing them. No prior coding background is assumed.

What you'll take away

• Core statistical inference and hypothesis testing
• Descriptive statistics and sampling techniques
• Practical fluency in R for data analysis

With over 43,900 learners enrolled, it's become a dependable entry point for professionals who need statistical literacy as a career tool, not just a theoretical exercise.