Authors: Dr. T.S. Baskaran, M. Arun Kumar
ISBN-13: 978-93-49554-37-5
Format: Paperback and e-book
Pages: 198
Product Dimensions: 6 x 9 inch
Publisher: Bharat Global Publications
M. Arun Kumar
A Ph.D., Research Scholar, and Young Professional (IT)
Holds a Ph.D. in Computer Science, M.Phil. in Computer Science, M.Sc. in Computer Science, and a B.C.A.
Works as a Young Professional (IT) in PMFME at NIFTEM-T under the Ministry of Food Processing Industries GoI and as an Assistant Professor at Bharath College of Science and Management.
Achieved recognition as a Paper Reviewer for an Engineering Applications journal and revived over 10 Research articles.
one of Author for a book on "MACHINE LEARNING CONCEPTS & TOOLS" with JAMI Publications
Published 5 Research Articles in Scopus Indexed Journals & 05 Articles in UGC Approved Journals.
Attended 10 FDP’s and 12 National & International Conferences.
Handled exam cell responsibilities, organized technical symposiums, and won awards in paper presentation events.
“Data Science and its Application in Future Days” is a forward-looking exploration of one of the most transformative disciplines of the 21st century. As industries evolve and societies become increasingly digital, the role of data science continues to grow in complexity and importance. This book aims to provide a foundational understanding of the field while examining how data science is likely to impact various sectors in the years to come.
The content is structured to cater to both beginners and intermediate readers. It begins with the basics of data science—its history, core concepts, methodologies, and tools. Following this, it delves into applied aspects, including case studies and future scenarios where data science plays a pivotal role.
Key highlights include:
An introduction to the ecosystem of data science and its integration with machine learning, deep learning, and big data analytics.
Practical applications in fields such as healthcare, agriculture, finance, education, smart cities, and climate modeling.
Discussion on data ethics, privacy concerns, algorithmic bias, and the responsibilities of data scientists.
Forecasting future trends, including autonomous systems, personalized medicine, predictive governance, and AI-enabled decision-making.
One of the distinguishing features of this book is its holistic approach—it doesn't merely dwell on programming and algorithms, but rather paints a broader picture that includes ethical, societal, and strategic dimensions.
By the end of the book, readers will be equipped with a conceptual toolkit to analyze how data science is not just solving problems today, but also setting the foundation for innovations that will define our tomorrow. Whether you are a student looking to enter the field, a professional aiming to transition into data science, or a researcher exploring its implications, this book will serve as a guide and a source of inspiration.