Why R? 2021 | RStudio Keynote | Teaching and learning R in the cloud with RStudio Cloud

Website - http://2021.whyr.pl/ Slack - http://whyr.pl/slack/
Speaker: Mine Çetinkaya-Rundel
About RStudio https://www.rstudio.com/

RStudio’s mission is to create free and open-source software for data science, scientific research, and technical communication. We do this to enhance the production and consumption of knowledge by everyone, regardless of economic means, and to facilitate collaboration and reproducible research, both of which are critical to the integrity and efficacy of work in science, education, government, and industry. RStudio also produces RStudio Team, a modular platform of commercial software products that give organizations the confidence to adopt R, Python and other open-source data science software at scale - for the benefit of many people, to leverage large amounts of data, to integrate with existing enterprise systems, platforms, and processes, or be compliant with security practices and standards - along with online services to make it easier to learn and use them over the web. Together, RStudio’s open-source software and commercial software form a virtuous cycle: The adoption of open-source data science software at scale in organizations creates demand for RStudio’s commercial software; and the revenue from commercial software, in turn, enables deeper investment in the open-source software that benefits everyone.

Abstract
Much has been written in the statistics and data science education literature about pedagogical tools and approaches to provide a practical computational foundation for students. However a common friction point for getting students (and faculty) started with computing is installation and setup. Circumventing the installation and setup steps early in the course by having students access R and RStudio in the cloud can minimize frustration and improve buy in. RStudio Cloud is a lightweight and easy to set up / use solution to this problem. In this talk we will discuss pedagogical reasons for teaching computing with R on the cloud as well as share best practices and tips for setting up your learners for success on RStudio Cloud. We will also provide an opportunity for the audience to experience computing in RStudio Cloud first hand, demo its newest features, and highlight a suite of ready to use resources for teaching R to new learners.