About this Episode
In this episode, Eric shares insights gained from the JSM 2019 conference, including an excellent panel discussion on the use of javascript in statistics. In addition, Eric is 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.
Episode Shownotes
Why Javascript? JSM panel discussion:
Karl Broman's slides (https://www.biostat.wisc.edu/~kbroman/presentations/JSM2019)
Carson Sievert's slides (https://talks.cpsievert.me/20190730/#1)
Data Science in a Box: datasciencebox.org (https://datasciencebox.org)
RStudio Learner Personas: rstudio-education.github.io/learner-personas (https://rstudio-education.github.io/learner-personas/)
Advanced R-Markdown workshop from rstudio::conf 2019: arm.rbind.io/ (https://arm.rbind.io/)
learnr - Interactive tutorials in R: rstudio.github.io/learnr (https://rstudio.github.io/learnr/)
Project Kickstart-R - Create a project/team website and knowledge sharing platform with R-Markdown: github.com/sourcethemes/project-kickstart-r (https://github.com/sourcethemes/project-kickstart-r)
lullabyr - Generate children's songs with random words: github.com/mine-cetinkaya-rundel/lullabyr (https://github.com/mine-cetinkaya-rundel/lullabyr)
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
Opening and closing themes: Training Montage by WillRock (http://ocremix.org/artist/5043/willrock) from the Return All Robots Remix Album (http://ocremix.org/events/returnallrobots/) at ocremix.org (http://ocremix.org/)