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 13
Rebecca Barter Persistent learning, tool building, and 'Will code even exist?'
Rebecca Barter, senior data scientist at Arine and adjunct assistant professor at the University of Utah, refuses to work on things she doesn’t care about. Lucky for us, she cares about a lot, most of all impact. In this episode, Rebecca joins The Test Set to talk about learning fast, building better tools, and staying motivated and adaptable.
She shares how moving between R, Python, SQL, and dashboards reshaped how she thinks about expertise. Plus a reflection on her recent posit::conf talk, "AI: Hype, Help, or Hindrance."