Description

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)