R Masterclass:

Data Cleaning, Git, GIS And Dashboarding

Unlock the full potential of R and take your data analysis prowess to new heights with our comprehensive live 12-week Masterclass designed for intermediate R users.

What you will gain

Over 12 weeks, you’ll join live workshops and expand your expertise in data analysis in R:

Who the course is for

This course is ideal for analysts with a basic foundation in R, who want to advance their skills. Graduates of our introductory R Basics & Beyond course will find this program to be a natural progression.

We will primarily use health datasets in our practicals, but the skills learned are applicable to any data field.


Course Details


3 months

Next cohort

Jul 10 - Sep 26


Online classroom


Wednesdays 3-5pm GMT (11am-1pm ET)

Help sessions (optional)

Mondays 1-3pm GMT (9am-11am ET)
Thursdays 3-5pm GMT (11am-1pm ET)

Tuition priced at $145 per month

We offer a generous 1-month full refund policy so you can try the course risk-free to see if it's right for you
Financial aid is available for students in need. If you require aid, please fill in the regular application form, then you will be sent a financial aid application form.

To organize a private cohort for an organization, email [email protected]


Course Modules

Our comprehensive curriculum is designed to enhance your expertise in data analysis using R.

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: 2 weeks


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: 3 weeks


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. 

DURATION: 3 weeks


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: 2 weeks


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: 2 weeks


Course review, project management, data presentation 

Why Enroll?

Benefit from expert guidance, a supportive community and tailored learning experience. 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.

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. 

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 data analysis with R and start driving data-informed decisions in your field.

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. Foster lasting relationships and collaboration.

Data Insights

Master data analysis principles and their application in business and academic environments. 

Portfolio Building

Showcase your skills by creating a project portfolio using real 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.


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 Mobio Interactive; 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. 

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