R bootcamp

LIVE BOOTCAMP

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.

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A superb, hands-on way way to learn R taught by enthusiastic instructors working in the global health space who know their stuff - well worth the investment.
Dr Christopher Rusheng Chew
Dr Christopher Rusheng ChewClinical Researcher in Tropical Medicine - University of Oxford
The best R course of the internet, believe me! This course was a springboard for my professional skills.
Sophie Bontemps
Sophie Bontemps Infectious Diseases Advisor, Government of Switzerland
I really gained a lot in the R cohort sessions. I did not know even know much about Microsoft excel before the course, but I can now confidently say I know R programming and I am ready to explore more.
Uthman Qozeem Ojo
Uthman Qozeem OjoResearch officer at Medbridge International, Abuja, Nigeria
What I enjoyed most were the weekly workshops, where you get to interact and learn from other students. This was engaging and really helpful. The quizzes, assignments/workshops and all course activities were also great as they promote learning through practice.
Ester Nepolo
Ester NepoloMonitoring & Evaluation Officer
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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. 

  • Video and audio materials available at any time
  • Carefully crafted assignments and personalized feedback
  • Individual guidance and peer support
  • Practical experience with real-life datasets
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The Community

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. 

  • Weekly live classes with our experts
  • Regular study halls and live consultations
  • Groups, forums, teams: get all the help you need
  • Individual feedback sessions
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Join us!

Consistent support

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.

  • Help when and where you need it through peer and expert support
  • One-on-one consultations with experts
  • Access to state-on-the-art collaborative online tools
  • Live Q&A sessions
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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. 

  • The program is adapted to total beginners
  • Audiovisual material is supported by comprehensive lesson notes
  • Study halls: our facilitators will help you with every problem
  • Build your skill portfolio with hands-on projects and real-life data
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Receive an official Certificate

Course Coordinators

laure

Laure Vancauwenberghe

INSTRUCTOR

Life Sciences Engineer and Research Collaborator at the University of Geneva Institute of Global Health

IMG_20180817_203411_199-2-Joy-Vaz_cropped

Joy Vaz

INSTRUCTOR

Infectious Disease Ecologist and R Developer at the GRAPH Network

Olivia_Keiser

Olivia Keiser

DIRECTOR

Assistant Professor of Epidemiology, University of Geneva. Focus on infectious diseases

linkedin_screenshot - Kene David Nwosu_cropped

Kene David Nwosu

INSTRUCTOR

PhD student in Global Health, University of Geneva. GRAPH Courses coordinator

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