Data Science for Business, by highly cited authors Foster Provost and Tom Fawcett, is intended for (i) those who need to understand data science/data mining broadly and (ii) those who want to develop their skill at data-analytic thinking. It is not a book about algorithms. Instead it presents a set of fundamental principles for getting business value by extracting useful knowledge from data. These fundamental principles are the foundation for many data mining techniques, but they also are the basis for frameworks for approaching business problems data-analytically, evaluating data science solutions, and evaluating general plans for data analytics. §After reading the book, the reader should be able to:§Envision data science opportunities§Discuss data science intelligently with data scientists and with other stakeholders§Better understand proposals for data science projects and investments§Participate integrally in data science projects.