Everyday Data Science - G.H. Hardy Why I wrote a book? During my graduate studies, I have been enthralled with how books often stay relevant and how quickly papers sink into obscurity. I wanted to write something that had value and durability. Why a book? Because books can last. I am not old, but I wanted to take a break from theorem proving to write something light-hearted and decidedly non-academic. Why this book? My background is in mathematics, theoretical computer science, and machine learning. However, I got started down this path because of my love for data. Data can tell some pretty incredible stories, but it also can be extremely misleading. There are scores of introductory books about data science that start with Aggregation and finish with $z \sim N(0,1)$. They are designed for a technical audience and are often SO boring.