Books like these should be read by all mathematics/statistics students, not to get better at mathematics, but to see how the concepts they study in theory are relevant in practice.
I read a few mins of the book and loved it, but I confess that the comments here have left me a bit confused.<p>I have a degree in engineering, took two statistics courses that basically used high school level math.<p>Nowadays, I work with data analysis, using SQL and Python. And I would like to know which statistical approach you guys think are most suitable for the real world, like how to test hypothesis etc?