Data Science education with R The R-Podcast

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


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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 from the Return All Robots Remix Album at ocremix.org