R Basics & Beyond

Introduction to Health Data Analysis

Master the fundamentals of data analysis with R, the leading programming language for data science in public health and medicine. Led by seasoned data professionals at the GRAPH Network, this online course will transform you into a proficient analyst.

What you will get

Over 3 months, you’ll learn to harness the potential of R to analyze data and derive insights through:

Who the course is for

Our course is tailored to accommodate anyone who wants to learn R! However, we will primarily use health datasets in our practicals, and these will be most relevant for students and professionals in medicine, epidemiology, biostats, or public health who want to build their expertise in data analysis and statistics.

There are no prerequisites. All skill levels are welcome.

Bootcamp details


3 months

Next cohort

October 3, 2023


Online classroom

Live workshops

Tue, 15:00 to 17:00 GMT

Help sessions

Mon, 12:00 to 14:00 GMT
Thur, 15:00 to 17:00 GMT

Early bird price

145 USD per month

Financial aid is available for students in need. If you require aid, please fill in the regular application form, then you will be sent a financial aid application form.

To organize a private cohort for an organization, email


Why Enroll?

Benefit from a tailored learning experience, expert guidance, and a supportive community. Graduate with a certificate and a capstone project to add to your data science portfolio.

Expert Guidance

Receive help right when you need it: our team of teachers will be there to support you with timely assistance as you tackle challenging assignments and projects.

A Supportive Community

Sometimes it’s hard to find the motivation to keep going when you’re studying online. That’s why we launched this guided course: with live classes and study halls, you will be surrounded by a supportive group of like-minded people and become part of a future data analyst network. 

A Tailored Learning Experience

With the careful guidance of our experts, our 3-month curriculum covers all the key topics needed to become proficient in health data analysis with R and start driving data-informed decisions in your field.

Join us!

Bootcamp Objectives

 Acquire programming expertise, form valuable connections, and use data to contribute to a healthier world.

Programming Proficiency

Hone your programming skills, becoming proficient in R Markdown, data visualization with ggplot2, and data wrangling techniques. 

Peer Connection

Connect with peers in careers in data analysis, medicine, epidemiology, and public health. Foster lasting relationships and collaboration.

Public Health Insight

Master data analysis principles and their application in public health environments. Enhance your ability to interpret data in your field.

Portfolio Building

Showcase your skills by creating a project portfolio using real health datasets. Present your findings in rich analysis reports.

Career Development

Leverage career support services to guide your professional development and explore new opportunities in data analysis.

Applied Impact

Use your newfound expertise in programming and data analysis to make a tangible impact on your field and improve public health outcomes.


Course Modules

Our comprehensive curriculum is designed to build your expertise in data analysis using R in health-related fields.

R foundations

Build a strong core. Learn the basics of R programming, RStudio, and data exploration, while collaborating with your peers on hands-on data projects.

DURATION: 3 weeks

Coding basics, error management, RStudio projects, R Markdown, using ChatGPT, esquisse 

Data Wrangling

Learn to handle messy data with ease. Master dplyr functions for manipulating datasets, and build the skills to clean, filter, and transform data for analysis and visualization.

DURATION: 4 weeks

Subsetting data, mutating, conditional operations, grouped data, pivoting

Data Visualization

Learn to communicate complex findings with clarity and impact. Develop the skills to create stunning data visualizations with the most popular data visualization package in R, ggplot2.

DURATION: 3 weeks

Grammar of graphics, geometric shapes, aesthetics, themes, scales, labels

Capstone Project

Showcase your data analysis expertise. Employ data wrangling, visualization, and analysis techniques, to a chosen case study and deduce actionable insights from your analysis.

DURATION: 2 weeks

Data cleaning, survey data exploration, dictionaries, results communication

Course Creators & Tutors

Meet our passionate team of data analysis and public health professionals. 

Prof. Olivia Keiser

Course Advisor

Head of the Infectious Diseases & Mathematical Modelling Division, University of Geneva; GRAPH Network Director

Prof. Flavio Coelho

Course Advisor

Associate professor of Mathematical Epidemiology Getulio Vargas Foundation, Rio de Janeiro; EpiGraphHub Director

Kenechukwu Nwosu

Course creator & Tutor

Research Assistant at the University of Geneva; GRAPH Courses Director

Joy Vaz

Course Creator & Tutor

GRAPH Network Training Coordinator and Instructor

Camille Valera

Course Creator & Tutor

Project Manager and Scientific Collaborator, the GRAPH Network

Laure Vancauwenberghe

Course Creator & Tutor

Biomedical Data Engineer · Swiss Data Science Center

Stay updated on our health data science offerings!

Sign up to receive information on new course releases and special offers