In today’s data-driven world, the ability to transform raw data into meaningful insights has become a critical skill across industries. The book “Data Science and Business Analytics - Concepts, Tools, and Industry Applications” is a timely contribution that addresses this growing need by presenting a well structured and comprehensive introduction to the field. This book effectively combines foundational concepts with practical tools and real-world applications, enabling readers to understand not only the “how” but also the “why” behind data-driven decision-making. The inclusion of modern analytical techniques and Python-based tools enhances its relevance for both academic learning and industry practice. Its clear and systematic approach makes it accessible to students, educators, and professionals alike. A notable strength of this work lies in its ability to bridge the gap between theory and application. By integrating examples from various domains such as business, healthcare, and finance, the book demonstrates how data science and analytics can be applied to solve real-world problems. Aligned with contemporary UGC and AICTE curricula, this book serves as a valuable resource for learners pursuing Computer Science, Data Science, and Business Analytics. It is certain to support the development of analytical thinking and practical skills.