Mastering Data Science

Regular price €223.20
Quantity:
Will Deliver When Available
Will Deliver When Available
14 days return policy Shipping & Delivery
A01=Aashi Singh Bhadouria
A01=Anamika Ahirwar
Author_Aashi Singh Bhadouria
Author_Anamika Ahirwar
Category=UN
Category=UY
Data Mining Essentials
data patterns
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
ethical considerations in data science
forthcoming
machine learning algorithms
statistical foundations

Product details

  • ISBN 9781779640505
  • Dimensions: 178 x 254mm
  • Publication Date: 11 Aug 2026
  • Publisher: Apple Academic Press Inc.
  • Publication City/Country: CA
  • Product Form: Hardback
Secure checkout Fast Shipping Easy returns

In an era defined by explosive data growth, understanding data science is more essential than ever. This book offers a clear and practical introduction to the field, equipping readers with the tools to collect, clean, analyze, and interpret data for informed decision-making.

Covering core concepts and modern techniques, the book guides readers through data analysis, statistics, machine learning, and big data technologies, supported by real-world examples, case studies, and hands-on exercises. Complex topics are presented in an accessible way, enabling a strong grasp of data patterns, algorithms, and analytical thinking.

The volume also addresses emerging trends and ethical considerations, including data privacy and responsible AI use. Designed for students, early learners, and professionals across disciplines such as business, healthcare, finance, and marketing, this book serves as both a foundational guide and a practical resource for applying data science in real-world contexts.

Aashi Singh Bhadouria is an Assistant Professor of Computer Science and Engineering at the Madhav Institute of Technology and Science, Gwalior, India. She has published numerous research papers in national and international journals and has participated in several conferences. Her research interests include digital image processing, computer vision, machine learning, natural image processing, big data computing, and artificial intelligence. She has supervised undergraduate and postgraduate students on major, minor, and internship projects and is a member of IEEE.

Anamika Ahirwar, PhD, is Professor and Head of the Department of Computer Science and Engineering at the Compucom Institute of Technology and Management, Rajasthan, India. With over 21 years of academic and research experience, she has published more than 80 papers in indexed journals and conference proceedings. She has authored and edited several books with leading international publishers and has received multiple honors, including the I2OR National Eminent Researcher Award, Academic Influencer Award, and Faculty Excellence Award. Dr. Ahirwar holds five published patents and has supervised numerous postgraduate and doctoral scholars. She also serves as a reviewer and editorial board member for reputed journals and conferences, contributing actively to advancements in emerging technologies.

More from this author