LIVE ONLINE TRAINING
R Masterclass:
Git, Geospatial Viz, Data Cleaning & Dashboarding
Struggling to apply R to real-world projects? Unlock the full potential of R and take your data prowess to new heights with our comprehensive 12-week masterclass designed for existing R users.
Your Learning Journey
Over 12 weeks, you’ll join live workshops and expand your expertise in data analysis in R:
- Learn version control with Git & GitHub
- Master advanced data manipulation and visualization
- Develop interactive websites and dashboards
- Learn to work with geospatial data
- Apply your knowledge in a hands-on capstone project
- Get support via live workshops, help sessions, and an online forum
Is this course right for you?
This course is ideal for analysts with a basic foundation in R, who want to advance their skills. If you’re a beginner looking to learn R, try our R Basics and Beyond course instead!
Tuition: $175 per month (x3 months)
We offer a generous 1-month full refund policy so you can try the course risk-free.
Course fees directly support our instructors and help fund financial aid for students in need. To apply for financial aid, please fill out the standard application form first.
To organize a private cohort for an organization, email admin[at]thegraphnetwork.org
Course Details
12 weeks
Late 2026
Online classroom
Thursdays 5pm GMT (check local time)
Thursdays 4pm GMT
Hear from GRAPH Graduates
Course Modules
Version Control and Collaboration with GitHub
Master collaborative workflows and project management. Learn the fundamentals of Git and GitHub, and deploy your projects as web pages using GitHub Pages and Quarto websites.
DURATION: 2Â weeks
TOPICS
Basic Git, GitHub introduction, branching, merging and conflict resolution, deploying web pages
Further Data Manipulation
Learn data joining methods, create custom functions, and master conditional operations and loops. Enhance your skills in handling dates and strings for more efficient data processing.
DURATION: 3Â weeks
TOPICSÂ
Data joining, functions and conditionals, loops, dates, strings
Geospatial Visualization
Unlock the power of geospatial data. Create informative thematic maps, visualize physical features, and generate density maps.Â
DURATION: 3Â weeks
TOPICSÂ
Thematic maps, physical features, density maps, shapefile data, CRS, boundary data
Data Reporting Tools
Create parametrized reports for efficient data communication. Learn to build interactive dashboards with Flexdashboard (or Quarto) for enhanced user engagement.
DURATION: 2Â weeks
TOPICS
Automation with ggplot2, parametrized reports, Flexdashboard, Quarto
Capstone Project
Leverage advanced data manipulation techniques, geospatial visualization, and data reporting tools to deliver a comprehensive analysis and showcase your expertise.
DURATION: 2Â weeks
TOPICS
Course review, project management, data presentation
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.Â
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 | COOÂ of the GRAPH Network
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
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.Â
