Sveriges mest populära poddar
Casual Inference
Casual Inference

Hanging out in the data science trough of disillusionment with Hilary Parker | Season 3 Episode 5

1 tim 10 min•8 november 2021
Logga in för att spara

Om avsnittet

In this episode Lucy D'Agostino McGowan and Ellie Murray chat with Hilary Parker about design thinking for data analysis, the Dunning-Kruger effect, and the potential data behind baby Yoda.

Follow along on Twitter:

🎶 Our intro/outro music is courtesy of Joseph McDade.

Fler avsnitt

Visa alla avsnitt av Casual Inference

Regression to the Mean Girls | The Marshmallow Test (Not That One) with Mattan Ben-Shachar

44 min

Regression to the Mean Girls | Election Data Web Scraping with Emily Riederer

43 min

Regression to the Mean Girls | The Art of Web Scraping Art with Hadley Wickham

40 min

Regression to the Mean Girls | The Comfort of Competence and the Speed of Justice, According to Law & Order

1 tim 14 min

Regression to the Mean Girls | The Work is Mysterious and Important: Severance Data

42 min

Regression to the Mean Girls | Romance by the Numbers: First Sparks Across Tropes

57 min

Optimizing Data Workflows with Emily Riederer | Season 6 Episode 8

53 min

Combining Data & Making Effects Generalizable with Carly Brantner | Season 6 Episode 7

52 min

The Art of Clarity with Andrew Heiss | Season 6 Episode 6

50 min

Study Critique: What Went Wrong and How We'd Do It Differently | Season 6 Episode 5

55 min

Casual Inference med Lucy D'Agostino McGowan and Ellie Murray finns tillgänglig på flera plattformar. Informationen på denna sida kommer från offentliga podd-flöden.