Foundations of Data Science and Big Data Analytics has been designed to provide students, researchers, and professionals with a comprehensive understanding of the fundamental concepts, techniques, tools, and applications associated with data-driven decision-making. This book serves as an introductory guide while also offering sufficient depth to help readers develop a strong conceptual foundation in data science and big data technologies. The primary objective of this book is to bridge the gap between theoretical knowledge and practical applications. It introduces readers to the essential principles of data collection, data preprocessing, statistical analysis, data visualization, machine learning, and predictive analytics. Additionally, the book explores the challenges and opportunities presented by big data, including data storage, distributed computing, cloud-based analytics, and real-time data processing. Dr. P.Kalarani Rampratap Singh Raghav Dr.S.Vydehi
