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R in 3 Months
R in 3 Months
Looking for even more? R in 3 Months is a cohort-based program to help you finally learn R.
High-Quality Instruction
With R in 3 Months, you’ll get high-quality instruction that will guide you from R newbie to R expert.
Personalized Feedback
You'll work on your own code every week and get in-depth feedback.
Supportive Community
You'll be on this journey alongside a supportive community that will help you learn and keep you accountable to yourself.
Testimonials
Don't Take it From Us
Our learners say it best.
“LOVED the course! Thank you so much for keeping everything high level enough that we don't get lost in the weeds but also providing so much helpful information. I've gone through other courses for beginners and came away still not knowing what a package was or how to import data. This course was perfect.
“Thank you for a very thorough and practical course about an important and initial task in data handling. In my own project, I am to work with data that are very far from tidy, and I am very grateful for the tools that you have provided me with. I was not aware that we can do so much with the data to make it more ready for statistical analysis.
“R in 3 Months is a wonderful resource for beginners or experienced R users alike – truly the best R resource I know for learning and expanding R skills.
“I'm extremely proud and happy to announce that in March I received a scholarship for R 3 in Months Course by R for the Rest of Us thanks to David Keyes and Charlie Joey Hadley. I want to express my deep appreciation for this amazing program, which is greatly helping me in significant professional growth. Their expertise, dedication, and commitment to helping students succeed in their different fields using data analysis and visualization in R is admirable and praiseworthy. Doing this course was definitely an enjoyable experience. Eternal thanks to R for the Rest of Us and to David & Charlie.
“On my journey through R in 3 Months, I went from excited to overwhelmed to confident. The way David and Charlie were able to adapt to our different needs and take me from never having coded to producing a final report all in R was amazing.
“At first, I thought R was only for stats-minded people and was outside of my wheelhouse as a person who deals more with data extraction, transformation and reporting. However, after going through the R for the Rest of Us courses and learning from David about the vast capabilities of R, I quickly discovered R IS EXACTLY for people like me! Its strength in creating efficient data processing and reporting workflows is beyond amazing, and David – with his deep knowledge and genuine desire to teach and build capacity – is the perfect R guide!
“The lessons were enjoyable and easy to understand, with step by step guidance. Thank you 😊
“Quick, user friendly introduction into R programing. Very well put together and presented.
“This is approachable and accessible. I'd recommend this program to a friend as a great way to learn enough about R to take away the fear of the difficulty of learning anything relating to code.
“It was helpful as it breaks complex things into simple things which makes it easy to understand everything clearly.
Topics Courses
Ready to Up Your R Game?
For when you've got the foundations down and you're ready to learn more.
Consulting
Let Us Handle the R
High-quality data visualization, workflow improvements, and custom packages to enable organizations to communicate more effectively and more efficiently.
Childhood Bereavement Estimation Model Reports
Judi’s House/JAG Institute, a nonprofit in Colorado, provides support regarding childhood bereavement. In 2018, they created the Childhood Bereavement Estimation Model® (CBEM) to estimate rates of children losing a parent or sibling before adulthood. Annual CBEM reports were produced, but racial and ethnic data breakdowns were lacking until 2021. Partnering with R for the Rest of Us, they generated high-quality, easy-to-understand reports on bereavement disparities by race and ethnicity. These national and state-level reports, created using parameterized reporting and RMarkdown, help advance their vision that no child should be alone in grief.
Immunization Agenda 2030 Reports
The World Health Organization's Immunization Agenda 2030 (IA2030) aims to improve global vaccine access. To better report progress, the International Vaccine Access Center at Johns Hopkins University partnered with R for the Rest of Us in 2023. They produced 72 user-friendly country-level reports in English and French, using parameterized reporting. These reports highlight individual country progress, use less technical language than previous online scorecards, and are in a printable PDF format for review.
Improving R Training for NOAA Fisheries West Coast Region
NOAA Fisheries West Coast region (NOAA WCR) aims to maintain healthy fish populations along the west coast, with offices in California, Oregon, and Washington. Recently, they have increased their use of R, arranging internal trainings and seeking additional support in 2024 from R for the Rest of Us. They created a 6-week training program focusing on R fundamentals, advanced R topics, and GitHub integration. By the end, NOAA WCR staff efficiently produced technical memoranda and improved their workflows using R and Quarto.
Blog
Blog
Learn to use the most powerful tool for working with data.
Even if you've never coded before.
How to make heatmaps in ggplot
May 1, 2025
Heatmaps are a common way of representing data. In this blog post, I'll show you how to make your own heatmaps using ggplot. In the process, you'll learn a bit about working with the {sf} package, specifically the st_make_grid() function to make a grid, the st_intersection() function to clip the boundaries of your geography to the grid you create, and st_join() to do spatial joins. This blog post is adapted from a lesson in the Mapping with R course . If you want to learn to make heatmaps...
Use shadows in ggplot to highlight findings
April 24, 2025
In our consulting work, we make a lot of the data visualization for parameterized reporting . It’s something I spoke about in my 2024 Cascadia R Conf talk, How to Make a Thousand Plots Look Good: Data Viz Tips for Parameterized Reporting . One example I gave in this talk came from our work with the Johns Hopkins International Vaccine Access Center and the World Health Organization . In this project, we made reports for the Immunization Agenda 2030 project, which tracks the progress countries...
Create your own custom {ggplot2} theme
April 3, 2025
Creating custom themes in {ggplot2} lets you elevate your data visualizations from standard to standout. Whether you’re aiming for a polished, brand-consistent look for your organization or a unique aesthetic that reflects your personal style, a custom theme function makes it easy to apply your design to all figures with a single line of code. In this tutorial, we’ll cover: the essentials of the powerful ggplot2::theme() function, including how to adjust fonts, colors, sizing, and spacing;...