Data Science education with R

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 Carson Sievert's slides Data Science in a Box: datasciencebox.org RStudio Learner Personas: rstudio-education.github.io/learner-personas Advanced R-Markdown workshop from rstudio::conf 2019: arm.rbind.io/ learnr - Interactive tutorials in R: 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 lullabyr - Generate children's songs with random words: github.com/mine-cetinkaya-rundel/lullabyr Feedback Leave a comment on this episode's post Email the show: thercast[at]gmail.com Use the R-Podcast contact page 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 from the Return All Robots Remix Album at ocremix.org

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Data Science education with R is an episode from The R-Podcast by Eric Nantz.

This episode is 01:07:37 long.

This episode was published on Aug 3, 2019.

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