NEW SELF-PACED CERTIFICATE COURSE

R Basics & Beyond:

Intro to Data Analysis with R

Unlock the power of R for data analysis and visualization

Our self-paced course is an asychronous version of the hugely successful R Basics & Beyond live bootcamp, allowing you to cover the same cirriculum at your own pace. 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:

  • 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 forums for personalized support

👨‍💻 Is this course for you?

This course is ideal for researchers, analysts, and professionals in the life sciences, medical sciences, and social sciences who are beginners/intermediate in R. If you’re already proficient with R, consider our R Masterclass.

Tuition: $ 410 total

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

Duration:

Complete at your own pace
(12 wks recommended)

Time commitment:

Recommended 2-4 hrs per week

Prerequisites:

Basic maths proficiency

Location:

Online

Enroll Now
Speak to an Advisor

We Offer R Basic and Beyond course in Self-paced course and Guided Cohort Bootcamp,

You can choose which one is suitable for you.

FEATURES

RBB Self-Paced

Get Started

Guided Cohort

Get Started

Video Tutorials

Course Textbook

Online Quizzes

Help Forum

Live Weekly Workshop

Interactive instructor-led sessions in cohort classroom setting

Live Weekly Office Hours

Direct Q&A time with instructors in cohort environment

Feedback on Weekly Assignments

Personalized instructor review of your coding work

Instructor-Graded Capstone Defense

Live video presentation of original coding project.

Completion Certificate

Live video presentation of original coding project. Demonstrates genuine human skills in an Al-assisted world.

Completion Certificate

$410 (one Time Payment)

or

$140 per month (x3 months)

Get Started

$495 (one Time Payment)

or

$175 per month (x3 months)

Get Started

Choose your learning path

We offer R Basic and Beyond in both Self-paced and Guided Cohort formats. Choose the one that suits you best.

↔ Swipe table to compare
Features
RBB Self-Paced
Get Started
Guided Cohort
Get Started
Video Tutorials
Course Textbook
Online Quizzes
Help Forum
Live Weekly Workshop Interactive instructor-led sessions
Live Weekly Office Hours Direct Q&A time with instructors
Feedback on Weekly Assignments Personalized instructor review
Instructor-Graded Capstone Defense
Certificate of Completion
Pricing
One-time or 3-month payment plan.
$410 (One Time)
or
$140 per month (x3)
Get Started
$495 (One Time)
or
$175 per month (x3)
Get Started
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Hear from R Basics & Beyond graduates

The best R course of the internet, believe me! This course was a springboard for my professional skills. Videos and exercises helped me become autonomous in the basic use (and even more!) of R.
Sophie BontempsInfectious Diseases Advisor, Government of Switzerland
Sophie Bontemps
A superb, hands-on way to learn R taught by enthusiastic instructors who know their stuff - well worth the investment.
Dr Chris Rusheng ChewClinical Researcher in Tropical Medicine - University of Oxford
Dr Chris Rusheng Chew
The course created a safe environment for learning, communicating with other people, and discussing solutions. I learned a great deal.
Julia WaibelPhD statistician, UHZ Germany
Julia Waibel
The way sessions are structured and content is tailored has added a remarkable depth to my understanding. The passion for teaching and expertise is truly inspirational.
Daniel AsratData Scientist, HDR UK
Daniel Asrat
I had tried previous courses before, but struggled to apply the concepts. After learning with The GRAPH Courses, I feel much more comfortable exploring, visualizing and analyzing data.
Saifeldin ShehataData Scientist, Data Scientist, Fios Genomics
Saifeldin Shehata

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.

Recommended 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.

Recommended 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.

Recommended 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.

Recommended DURATION: 2 weeks

TOPICS 
Data cleaning, survey data exploration, dictionaries, results communication

Our Approach

Supportive Community

Online learning can be isolating. Join our vibrant community of aspiring data analysts on your R learning journey! 

  • 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.

  • Quizzes and coding challenges to reinforce concepts
  • Instructor 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. 

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