Hands-On Introduction to Data Science

This book introduces the field of data science in a practical and accessible manner using a hands-on approach that assumes no prior knowledge of the subject. The foundational ideas and techniques of data science are provided independently from technology allowing students to easily develop a firm understanding of the subject without a strong technical background as well as being presented with material that will have continual relevance even after tools and technologies change. Using popular data science tools such as Python and R the book offers many examples of real-life applications with practice ranging from small to big data. A suite of online material for both instructors and students provides a strong supplement to the book including datasets chapter slides solutions sample exams and curriculum suggestions. This entry-level textbook is ideally suited to readers from a range of disciplines wishing to build a practical working knowledge of data science.