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