R Basics & Beyond:
Intro to health data analysis
Embark on an exciting 2-month journey with GRAPH Network, a leading hub for epidemiology and data science, to learn the fundamentals of R programming for public health and epidemiological analysis.
Led by experienced data professionals, this live online bootcamp offers a state-of-the-art learning experience through weekly live classes and collaborative study sessions.
Whether you want to boost your career in public health, epidemiology or policy-making, this hands-on program will equip you with in-demand data skills to make an immediate impact.
Our intensive 2-month curriculum includes three flagship GRAPH courses: R Foundations, Data Wrangling and Data Visualization. With the careful guidance of our experts you will discover the world of data analysis with R and dive into practical programming tasks with state-of-the-art online learning methods.
Sometimes it’s hard to find the motivation to keep going. Especially when there’s no one to report to! That’s why we are launching the guided course: with live classes, study sessions, and tailored feedback you will never feel alone. Being surrounded by like-minded people passionate about data science, you will become part of a future data analyst network.
Receive help right when you need it: as a premium cohort member, you’ll stay in touch with your peers and teachers throughout the duration of the course. Join the premium course to receive personalized feedback and one-on-one consultation with our experts.
The learning journey
Don’t worry about previous experience: our course is dedicated to absolute beginners. Starting with an introduction to the R coding environment, we will steadily guide you every step of the way until you feel confident to perform data analysis on your own. The learning journey might seem long but it starts with just one step.
Receive an official Certificate
Life Sciences Engineer and Research Collaborator at the University of Geneva Institute of Global Health
Infectious Disease Ecologist and R Developer at the GRAPH Network
Assistant Professor of Epidemiology, University of Geneva. Focus on infectious diseases
Kene David Nwosu
PhD student in Global Health, University of Geneva. GRAPH Courses coordinator