Includes bibliographical references and index.

This book introduces the central concepts of modern data science. The book demands no particular software familiarity, since the methods presented can be implemented in Python, R (used by the authors), or any other statistical software. Introduces the different types of data, the distinction between sample and population, and methods for sampling populations. Introduces summary statistics concerning the location and variability of a set of data. Additionally introduces commonly used summary diagrams.