Introduction to Data Science

Introduction to Data Science is designed as a comprehensive yet practical guide for undergraduate students stepping into the world of data science. Bridging theoretical foundations with hands-on applications, the book emphasizes learning through Python and its powerful libraries. Its structured progression—from fundamental concepts to advanced techniques—makes it ideal for classroom teaching, lab practice, and self-study. About the Authors Dr. Madhu Chauhan holds a Bachelor’s degree in Computer Science and Applications from Vivekananda Institute of Professional Studies, which is affiliated with GGSIPU. She furthered her education by pursuing a Masters in Computer Applications from Jagannath Institute of Management Studies, also affiliated with GGSIPU. Her academic journey culminated in the successful completion of her Ph.D and additionally holding UGC-NET qualification. Dr. Chauhan is an accomplished author, having written two books: “Web Technology” and “Artificial Intelligence and Machine Learning”. At present she is working as Associate Professor in JIMS, Rohini. Dr Narinder Kaur Seera has completed her doctoral degree from Banasthali Vidyapith in Computer Science. She has gained rich teaching experience at both masters and graduate level. Her areas of interest include distributed computing algorithms, machine learning and database systems. Dr. Kavita Mittal is a distinguished academician and Professor in the Department of Computer Science and Engineering at Jagan Nath University, Bahadurgarh, with over 20 years of experience in higher education and research. Her expertise spans Data Mining, Machine Learning, Artificial Intelligence, and the Internet of Things. She has published extensively in reputed Scopus and Web of Science indexed journals and holds patents in knowledge graphs.