Taken literally, the title "All of Statistics" is an exaggeration. However, in spirit, the title is fitting as the book covers a much broader range of topics than a typical introductory book on mathematical statistics. This book is aimed at individuals who want to learn probability and statistics quickly. It is suitable for master's or advanced bachelor's students in computer science, mathematics, statistics, and related disciplines. The book addresses modern topics such as nonparametric curve fitting, bootstrapping, and classification—subjects that are typically reserved for subsequent courses. It is assumed that the reader has knowledge of calculus and a bit of linear algebra. Prior knowledge in probability and statistics is not required. Statistics, data mining, and machine learning all deal with the collection and analysis of data.