Coding out loud

Logo

View the Project on GitHub dukecct/coding-out-loud

One hour, one dataset, a pair of programmers. In each episode Dr. Mine Çetinkaya-Rundel will team up with an undergraduate student to collaboratively explore and visualize a dataset with the goal of both answering questions of mutual interest with the dataset and showcasing the process of doing data science, with R, collaboratively. The session will feature live coding and audience participation. Coding-along is encouraged, however those who would just like to watch and/or contribute ideas in the chat for improvements are equally welcome! Basic familiarity with R and tidyverse will be helpful, however the only requirement for participation is a browser and a stable internet connection.

This session will be livestreamed on the Center for Computational Thinking YouTube channel.

Episodes

Episode 4 - Wordle on keyboard

With guest host Martha Aboagye (Statistical Science and Computer Science double major with a minor in Philosophy, Class of 2022)

:spiral_calendar: Tuesday, March 22, 2022 | 4:00 – 5:00 PM EST
:tv: Watch on YouTube
:cloud: Get started on RStudio Cloud
:file_folder: See source code on GitHub

Episode 3 - Kusama’s pumpkins

With guest host Lillian Clark (AB in Statistical Science and Certificate in Documentary Studies, Class of 2023)

:spiral_calendar: Wednesday, February 2, 2022 | 4:00 – 5:00 PM EST
:tv: Watch on YouTube
:cloud: Get started on RStudio Cloud
:file_folder: See source code on GitHub

Episode 2 - A table of shades

With guest host Holly Cui (Class of 2023, BS in Statistics with Data Science Concentration and Minor in Computer Science)

:spiral_calendar: Tuesday, January 11, 2022 | 4:00 – 5:00 PM EST
:tv: Watch on YouTube
:cloud: Get started on RStudio Cloud
:file_folder: See source code on GitHub

Episode 1 - Doctors of Dr. Who

With guest host Evan Dragich (Class of 2023, BS in Psychology and Statistics)

:spiral_calendar: Tuesday, November 30, 2021 | 1:30 – 2:30 PM EST
:tv: Watch on YouTube
:cloud: Get started on RStudio Cloud
:file_folder: See source code on GitHub