A Posit video
podcast series for
data science
For data science junkies, anomaly hunters, and those who play outside the confidence interval.
OUR HOSTS
Principal Software Engineer, Posit
Michael Chow
Chief Scientist, Posit
Hadley Wickham
Principal Architect, Posit
Wes McKinney
Episode 4
Episode 1: Spreadsheets, bikes, and the accidental empire of R packages
Wes McKinney: Part 1 Building Pandas, Arrow, and a speedrunning legacy
Wes McKinney: Part 2 The open source hustle and an insider view of Positron
Mine Çetinkaya-Rundel:Teaching in the AI era — and keeping students engaged
In this conversation, Mine Çetinkaya-Rundel, data science educator at Duke University and Posit, joins Michael, Hadley and Wes to talk about teaching data science at a time when AI can write the code for you. Mine shares her journey from actuarial science to academia, the teaching philosophy behind the “whole game” approach, and her experiments using LLMs for instant student feedback. Along the way, the group dives into the joys and risks of coding by hand, the role of open source in the classroom, and what it’s like to work across both the R and Python communities.
UPCOMING EPISODES
EPISODE 5
Roger Peng: Impact takes time, and it’s totally worth it
Roger Peng is a professor of Statistics and Data Sciences at the University of Texas at Austin, and he’s also the host of a popular data science podcast, Not So Standard Deviations. We talk about the evolution of the data science community, how the conversations have changed, and why teaching remains central to Roger’s mission.
