Title: An Introduction to Data Science
Authors: Jeffrey S. Saltz and Jeffrey M. Stanton
Publisher: SAGE Publications, Inc.
Summary: “An Introduction to Data Science” provides a comprehensive overview of the fundamental concepts and techniques essential for understanding and practicing data science. The book covers a wide range of topics, including data manipulation, visualization, statistical analysis, machine learning, and data ethics. Through clear explanations and practical examples, the authors guide readers through the entire data science process, from data collection and cleaning to analysis and interpretation. With an emphasis on hands-on learning, the book includes exercises and case studies that allow readers to apply their knowledge in real-world scenarios. Whether you are a student, researcher, or practitioner, this book serves as an invaluable resource for mastering the core principles of data science and advancing your skills in this rapidly evolving field.
Authors’ Bios:
Jeffrey S. Saltz is a data scientist and educator with expertise in statistical analysis, machine learning, and data visualization. He holds a Ph.D. in Statistics and has extensive experience working with large datasets in various industries, including finance, healthcare, and technology. Dr. Saltz is passionate about teaching and is committed to making complex statistical concepts accessible to students and professionals.
Jeffrey M. Stanton is a professor of Information Studies and Public Administration with a focus on data science, information technology, and organizational behavior. He has authored numerous books and research articles on topics such as human-computer interaction, social media analytics, and organizational informatics. Dr. Stanton is known for his interdisciplinary approach to data science and his ability to bridge the gap between theory and practice.