Episode 31: Data Science Education With R

Posted on Saturday, Aug 3, 2019
The R-Podcast returns with a recap of the Joint Statistical Meetings (JSM) 2019 conference! In this episode, I share insights gained from an excellent panel discussion on the use of javascript in statistics, and I am joined by RStudio’s education team members Alison Hill & Mine Cetinkaya-Rundel to discuss new ideas for teaching data science effectively, as well as how tools like R-Markdown are opening many new possibilities for both students and teachers. I hope you enjoy episode 31 of the R-Podcast!

Show Notes

Feedback

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Episode Timestamps

00:00:00.000 Intro
00:01:22.000 JSM Memories
00:07:16.000 Why Javascript recap
00:13:04.000 Shinymeta advice
00:19:54.000 Conversation with Alison & Mine
01:01:50.000 Takeaways & Wrapup

Music Credits

Guests

Mine Cetinkaya-Rundel

Mine Cetinkaya-Rundel

Mine is Professional Educator at RStudio and Professor at University of Edinburgh. Her work focuses on innovation in statistics pedagogy, with an emphasis on computation, reproducible research, open-source education, and student-centered learning. She is the author of three open-source introductory statistics textbooks as part of the OpenIntro project and teaches the popular Statistics with R MOOC on Coursera.

Alison Hill

Alison Hill

Alison is a Data Scientist & Professional Educator at RStudio. She has used R both in the classroom as a professor, and in the lab as a scientist and mentor. She specializes in teaching data science to new and advanced R users, and helping data scientists adopt literate programming tools to document and communicate their work. She is one of the authors of the book blogdown: Making Websites with R Markdown. Previously, she was an Associate Professor and Assistant Director of a computational research center at Oregon Health & Science University. Her work has been funded by the National Institutes of Health, the Oregon Clinical and Translational Research Institute, and Autism Speaks. Alison holds a Ph.D. in psychology and quantitative methods from Vanderbilt University (2008) and an undergraduate degree from Georgia Tech (2002)

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