NOW ENROLLING:
LIVE CODING BOOTCAMP
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. 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:
- Weekly interactive workshops led by instructors
- Dedicated help sessions and group study halls
- Hands-on projects with real health datasets
- An online forum for assistance and collaboration
- Lifetime access to our tutorial library
- And much more!
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
Fall 2023
Online classroom
Tue, 17:00 to 19:00 CET
Mon, 14:00 to 16:00 CET
Thur, 17:00 to 19:00 CET
Early bird price
145 USD per month
Scholarships are available for students in need. To organize a private cohort for an organization, email admin@thegraphnetwork.org
Testimonials
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.
- Weekly live classes
- Study halls: our facilitators help you with every problem
- Access to expert-curated resources for further learning
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.
- Rich peer interactions in our spatial videoconferencing classroom
- Online groups, forums, teams: get all the support you need
- Peer review and feedback sessions
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.
- Carefully crafted assignments that mirror tasks in the field
- Practical projects with real health datasets
- Rich video and text materials available at any time
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.
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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
TOPICS
Coding basics, error management, RStudio projects, R Markdown, using ChatGPT, esquisseÂ
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: 4Â weeks
TOPICS
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: 3Â weeks
TOPICSÂ
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: 2Â weeks
TOPICSÂ
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