Published by BPB Publications, Asia’s leading   publisher in information technology and computer science.

In today’s era of digital transformation, information has become the cornerstone of progress and innovation. The ability to uncover actionable insights from data and effectively use analytical tools is a skill that spans industries, domains, and geographies. This book is carefully crafted to provide readers with the knowledge, techniques, case studies, and practical applications required to thrive in this transformative era. The textbook offers a comprehensive and practical guide to modern data analytics. The book begins with foundational concepts and builds toward advanced data mining techniques, covering preprocessing methods, supervised and unsupervised learning algorithms, and their applications to large datasets through real-world case studies. Real-world case studies show how these methods are applied to large datasets across industries. The book also explores advanced data mining concepts, ethical frameworks and governance practices, with key topics including bias in data, data preservation, security, privacy, trust, ethical guidelines and data democratization. Chapters on data modelling and visualization include hands-on Power BI exercises, while selected sections feature R code implementations to bridge theory with practical application. Designed for business professionals, analytics experts, IT specialists, and students, this textbook is a valuable resource for learners at all levels seeking to apply data effectively and ethically in today’s digital world.