Probabilistic Thinking with James "JD" Long

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)