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Learn why faculty-centric matters

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.

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Who Is It For?

We want everyone who is interested to attend. That said, we think the presentation will be particularly valuable if you’d consider yourself:

Professors, Instructors and Teaching Assistants

  • If you want to easily share projects with your class
  • If you teach data science with R & Python
  • If you’d like to avoid trouble shooting with a no-install setup for you and students
  • See how all you need is a browser to share and teach!
  • Avoid the need for extensive IT Support

Dean and Chairs

  • If you are searching for a trustworthy teaching platform for your data literacy programs and courses
  • If you’d like to learn how to have a good return on investment in your institute’s tools and platforms
  • Equip your students with employer in demand skills
  • Reduce the demand on your IT team while giving your school access to fully supported open-source ecosystems

Academic IT Leaders

  • Reduce demand on your team
  • Reduce computational resource constraints
  • Avoid having to scale container orchestration systems such as kubernetes
  • If you're unfamiliar with R or Linux no problem

WorkShop Trainers

  • If you want to easily collaborate and share trainings with your team and org
  • If SSO is a priority for your org
  • Access to professional tools such as RStudio Workbench in the Cloud

About the Speaker

Mine Cetinkaya-Rundel

Mine Çetinkaya-Rundel is Professional Educator and Data Scientist at RStudio as well as Senior Lecturer and Associate Professor. Mine’s work focuses on innovation in statistics and data science pedagogy, with an emphasis on computing, reproducible research, student-centered learning, and open-source education as well as pedagogical approaches for enhancing retention of women and under-represented minorities in STEM. Mine works on integrating computation into the undergraduate statistics curriculum, using reproducible research methodologies and analysis of real and complex datasets. She also organizes ASA DataFest, an annual two-day competition in which teams of undergraduate students work to reveal insights into a rich and complex data set.

Mine works on the OpenIntro project, whose mission is to make educational products that are free, transparent, and lower barriers to education. As part of this project she co-authored three open-source introductory statistics textbooks. She is also the creator and maintainer of datasciencbox.org and she teaches the popular Statistics with R MOOC on Coursera. Mine is the Chair of the ASA’s Section on Statistical Education. In 2018 Mine received the David Pickard Teaching Award and in 2016 the ASA Waller Education Award. She is also the recipient of the 2015 JSM Best Paper Award in the Section on Teaching Statistics in the Health Sciences and the 2014 Duke University David and Janet Vaughan Brooks Award for Teaching Excellence.

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