RStudio Cloud is a lightweight, cloud-based solution that allows anyone to do, share, teach and learn data science online. Learn more.
May 31, 2022 |
The Designing the Data Science Classroom workshop at rstudio::conf will equip educators with concrete information on content, workflows, and infrastructure for teaching data science.
May 23, 2022 |
We are excited to announce real-time collaborative editing on RStudio Cloud. Users can join the same project, edit code, and immediately see each other’s changes.
April 4, 2022 |
We recently held a Live Series about RStudio Cloud. In this post, we share insights from our presenters on how to teach in the cloud.
February 1, 2022 |
RStudio Cloud has new updates and features, including a student pay option, faster package management, UI improvements, and easier access to project settings.
January 4, 2022 |
Happy New Year! In this blog post, we round up some of the many announcements and product releases from RStudio in 2021.
December 6, 2021 |
RStudio has many tools for both R and Python programmers. In this blog post, we’ll showcase various ways that you can program in Python with RStudio tools.
October 6, 2021 |
When developing his Data Science for Medical Decision Making course, Professor Chirag Patel discovered that RStudio Cloud is a solution that supports his students through efficient onboarding and reproducible analysis.
September 28, 2021 |
The RStudio Cloud team has improved your cloud-based data science experience with support for Jupyter Notebooks (currently in beta) and automatic upgrades on Ubuntu. RStudio Cloud now has increased monthly hours, number of available projects, and disk space as well as a reduced price for additional hours.
August 5, 2021 |
Learn how Monash University uses RStudio Cloud in their Introduction to Data Analysis and Collaborative & Reproducible Practices units. From weekly tutorials and assignments during the semester to even a timed test with 300 students logging in simultaneously.
May 3, 2021 |
We've released quite a few features to RStudio Cloud since our last post. Here are some of the more significant changes since February, 2021.
January 19, 2021 |
In this blog post, I take a look back at some of the many announcements, product releases, etc. that RStudio did in 2020. It was an exciting year, despite the challenges that 2020 presented to everyone, and we were pleased to continue to support and deliver value to the R and Python data science community.
November 12, 2020 |
Over the last few years, more companies have begun migrating their data science work to the cloud. As they do, they naturally want to bring along their favorite data science tools, including RStudio, R, and Python. In this blog post, we discuss the various ways RStudio products can be a part of that journey.
September 17, 2020 |
Lara Zaremba, a student at Goethe University, shares her experiences using RStudio Cloud to learn data science and how it has empowered her to help teach others.
