Manage episode 345378063 series 2632853
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)