“This book offers a thorough, accessible introduction to key concepts in data science, combining theoretical grounding with practical application. It includes clear explanations, code examples, and exercises that will benefit both students and professionals looking to strengthen their data science knowledge. Placing supervised and unsupervised machine learning later in the book allows readers to build the necessary intuition and technical foundations before tackling complex models. Kline does an excellent job balancing depth with clarity. The emphasis on conceptual understanding adds pedagogical value.”

—Nir Kshetri, PhD, Department of Management, University of North Carolina at Greensboro


“This text offers a comprehensive, well-structured overview of key data science concepts, bridging traditional statistical thinking with modern machine learning and computational approaches. The examples, figures, and appendices provide meaningful reinforcement of the chapter content, contributing significantly to the book's instructional value. Code examples are well annotated and easy to follow, with clear flow that reflects careful attention to reader comprehension. I commend the author for his thoughtful integration of code and narrative (which is no small task!).”

—Sarah Depaoli, PhD, Department of Psychological Sciences, University of California, Merced


“Get Ready for Data Science is the most comprehensive data science book available for behavioral science students and professionals. The narrative writing style is a strong feature of the text. The R code and output figures with detailed interpretation help students learn how to implement the analytical techniques and interpret the outputs.”

—Toshiyuki Yuasa, PhD, Hobby School of Public Affairs, University of Houston


“I appreciate that Kline begins by providing foundational knowledge and developing the reader's understanding of up-to-date statistical methods, rather than jumping right into tools and technical skills. The coverage of topics is excellent—I would recommend this book to any early-career researcher.”

—Glenn Williams, PhD, School of Psychology, Northumbria University, United Kingdom