Data science is expanding rapidly but most practitioners skip the basics.

Cassie Kozyrkov (formerly Google's Chief Decision Scientist) previously shared 32 foundational questions that every data scientist should answer.

I got bored and distilled this into the 10 most helpful questions.

Each question offers multiple valid perspectives ⬇️ 1/ Start with epistemology.

"What does it mean to know something?"

In data science, do we "know" something when our model predicts it? When p < 0.05? When we have correlations?