Anamika Ahirwar, PhD – Professor, Computer Science and Engineering, Compucom Institute of Technology and Management, Rajasthan, India
Nancy Kumari, PhD – Assistant Professor, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Uttar Pradesh, India

Series: Computer Science, Technology and Applications; Research Methodology and Data Analysis
BISAC: COM021030; COM021000; COM037000
DOI: https://doi.org/10.52305/HDSJ0046

Book Reviews
“This book provides a clear and comprehensive introduction to data science and analytics, making complex concepts accessible to beginners while maintaining academic rigor. Its practical approach and use of real-world examples make it highly valuable for both students and professionals. A well-structured and insightful resource that bridges the gap between theory and practice. The inclusion of tools such as Excel, Tableau, and Power BI enhances its applicability in real-world scenarios.” – Dr. Srinath Doss, Dean, Faculty of Engineering and Technology, Botho University, Botswana

“An excellent guide for learners and practitioners alike, this book successfully covers fundamental concepts, statistical techniques, and ethical considerations essential for modern data-driven decision-making.” – Dr. Ushaa Eswaran, Principal and Professor, Department of ECE, Mahalakshmi Tech Campus, Chennai, Tamil Nadu, India

“The authors have done a commendable job in presenting data science concepts in a simple yet effective manner. This book is a useful addition to academic curricula and professional learning resources.” – Dr. C. Kishor Kumar Reddy, Associate Professor, Department of Computer Science and Engineering, Stanley College of Engineering and Technology for Women, Hyderabad, India

“With its strong focus on applications across industries and emphasis on ethical data usage, this book is timely and relevant in today’s data-centric world.” – Vivek Eswaran, Principal Software Engineer, Oracle, Austin, Texas, USA

Book Description
This book is a beginner-friendly yet comprehensive guide designed to help readers master the fundamentals of data science and analytics. Whether you are a student, a professional looking to upskill, or a business leader aiming to make data-driven decisions, this five-chaptered book provides a clear and structured approach to understanding and applying data science concepts. Covering essential topics such as data collection, cleaning, preprocessing, exploratory data analysis (EDA), data visualization, statistical analysis, and ethical considerations, this book takes a hands-on approach to learning. It introduces key tools such as Excel, Tableau, and Power BI, making it easier for readers to implement data analytics in real-world scenarios.

With practical examples, case studies, and step-by-step explanations, Data Science and Analytics: Concepts, Methods, and Applications breaks down complex concepts into simple, actionable insights. It also explores the role of data science across industries, from finance and marketing to healthcare and supply chain management. Additionally, the book emphasizes ethical considerations, privacy laws, and responsible data usage, ensuring that readers understand not only how to analyse data but also the implications of their work. Whether you’re a beginner or someone looking to enhance your analytical skills, this book provides an accessible and engaging way to dive into the world of data science. Start your journey today and unlock the power of data to drive informed decisions and business success!

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