Probabilistic Thinking with James "JD" Long

Data Science Salon Podcast

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2y ago 1:17:00

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In this episode, James and Q explore:

The ideas of risk and uncertainty.
What is "probabilistic thinking" and why is it important for data scientists?
The career progression of a data analyst, and what it means to develop statistical acumen.
Thinking in terms of distributions, and thinking in different moments of a distribution.
Seeing BI, AI, and simulation in terms of punctuation. (No, seriously.)
How to bridge the gap into thinking probabilistically

And, just a reminder: James only speaks for himself in this episode and he does not represent his employer.Links mentioned during our discussion:

You can find James on Twitter at @cmastication and on LinkedIn at https://www.linkedin.com/in/jamesdlong/
R Cookbook, 2nd Edition (which James co-authored)
RenRe's open roles: https://bit.ly/renrejobs
Q's blog posts on "punctuation in data": Periods and Question Marks (BI and AI), and then Ellipses (simulation)

The list of books James mentioned:

Thinking in Bets (Annie Duke)
Fortune's Formula (Poundstone)
The Lady Tasting Tea (Salsburg)
Fooled by Randomness (Taleb)

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