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Statistical Inference By Casella and Berger.  It is hard to understate the value of this   book. Even if all someone reads is the first  two chapters that would be sufficient for an   entry level position in data science. The  problem set is fun and challenging... and   you will probably never get through all of it.  In my masters program I am not sure if we even   did half of the problems and that was with two  semesters dedicated to this book! There are a   number of interesting tables like the table  at the back of the book which shows how many   of the popular of the probability distributions  are related. This is a graduate level textbook.   This is a must-have for anyone trying to learn  mathematical statistics. The book is heavy on   definitions and expects the reader to play with  those definitions in the form of applications,   derivations, and occasional proofs. Though I have  been out of school for many years I will still   pick this book up, pi

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