LIVE ONLINE CERTIFICATION
R Basics & Beyond:
Intro to Data Analysis with R
Ready to unlock the power of R for data analysis and visualization?
Our 12-week part-time course connects you with R experts and a supportive community. You’ll build a portfolio of data projects, learn to program with tidyverse packages, and earn a certificate to showcase your R proficiency. The course includes:
- Weekly workshops in a live, engaging classroom
- Personalized feedback and mentorship from experts
- A modern R curriculum with libraries like dplyr, ggplot2, and Rmarkdown
- Hands-on practice using AI tools for R programming
- Dedicated office hours for personalized support
- 4 ECTS credits (for partner university students)
Is this course for you?
Tuition: $175 per month (x3 months)
Financial hardship scholarships available.
Indicate your need in the standard enrollment form.
We offer a generous 1-month full refund policy so you can try the course risk-free.
Course Structure
12 weeks
Trimester 1: January 18 - Apr 7, 2026
Trimester 2: May 10 - Jul 28, 2026
Online classroom
Sundays 5pm GMT (check local time) or Tuesdays 3pm GMT (check local time)
Hear from GRAPH Graduates
Course Modules
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, 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
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: 3 weeks
TOPICS
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
TOPICS
Data cleaning, survey data exploration, dictionaries, results communication
Our Approach
Supportive Community
Online learning can be isolating. Our live classes and study halls create a vibrant community of aspiring data analysts.
- Rich peer interactions in our videoconferencing classroom
- Online groups, forums, teams: get all the support you need
- Improve your skills with constructive feedback from instructors
– Hello from a recent cohort!
– An example page from a student’s capstone Project
Hands-on Learning
Theory is important, but application is key. Throughout the course, you’ll work on real-world projects that demonstrate your growing skills to potential employers.
- Weekly quizzes and coding challenges to reinforce concepts
- Timely feedback on your work for targeted improvement
- Comprehensive capstone project
Modern Curriculum
There is a lot to learn in the R space. Figuring out what’s essential can be challenging. Our experts have curated a focused curriculum that covers the most important and up-to-date aspects of R for data analysis.
- Modern R libraries, with a focus on the tidyverse
- Reproducible research practices with R Markdown and Quarto
- Learn to use AI tools like ChatGPT to accelerate your coding
– One of our textbooks. Available online at datawithr.com
Course Creators & Tutors
Meet our passionate team of data analysis professionals.
Prof. Olivia Keiser
Course Advisor
Head of the Mathematical Modelling & Infectious Diseases Division, University of Geneva; GRAPH Network Director
Dr Sara Botero Mesa
Course Advisor
Scientific Collaborator at the University of Geneva | COO of the GRAPH Network
Kenechukwu Nwosu
Course creator & Tutor
Research Assistant at the University of Geneva; GRAPH Courses Director
Joy Vaz
Instructional lead
GRAPH Network Training Coordinator and Instructor
Camille Valera
Course Creator & Tutor
Project Manager and Scientific Collaborator, the GRAPH Network
sabina Rodriguez Velásquez
Course Creator & Tutor
Project Manager and Scientific Collaborator, the GRAPH Network
Santiago Sotelo
Course Instructor
Data Scientist at PUCP; GRAPH Courses Tutor
Prof. Flavio Coelho
Course Advisor
Associate professor of Mathematical Epidemiology Getulio Vargas Foundation, Rio de Janeiro; EpiGraphHub Director
Dr. Guy Sadeu Wafeu
Course creator & Tutor
Dept. of Internal Medicine, University of Yaounde; GRAPH Courses Tutor.
