: It identifies which statistical concepts are critical for data science (like resampling and exploratory data analysis) and which are less relevant in a big data context. The 7 Core Pillars of the Book
This is where most practitioners go wrong. Hypothesis testing is subtle, and p-values are routinely misinterpreted. Practical Statistics for Data Scientists- 50 E...