Mastering Data Science - Unraveling Patterns and Predictive Analytics for Building Intelligent Systems

Aug 2, 2026

Mastering Data Science delivers a thorough, practical introduction to the field and its real-world value, guiding readers through gathering, cleaning, examining, and analyzing data. The book connects data patterns to predictive analytics and intelligent system building, covering core concepts, essential techniques, and technologies from fundamentals to advanced topics. Hands-on exercises, practical examples, and case studies develop skills in data analysis, data mining, big data technologies, statistical methods, machine learning, and ethical considerations, preparing readers for data-informed decision-making and exam readiness.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages537

Reading Time22 h 33 min

AccessFree to download

Introduction to Data Science

Foundations and Core Concepts

Data Preparation and Cleaning

Data Analysis and Pattern Understanding

Predictive Analytics and Intelligent Systems

Probability and Statistics

Machine Learning Techniques

Case Studies and Hands-on Exercises

Ethics, Privacy, and Future Trends

Ethical Implications of Data-Driven Decisions

Emerging Challenges and Directions

MASTERING DATA SCIENCE Unraveling Patterns and Predictive Analytics for Building Intelligent Systems MASTERING DATA SCIENCE Unraveling Patterns and Predictive Analytics for Building Intelligent Systems Aashi Singh Bhadouria Anamika Ahirwar, PhD First edition published 2027 Apple Academic Press Inc. 1265 Goldenrod Circle, NE, Palm Bay, FL 32905 USA 760 Laurentian Drive, Unit 19, Burlington, ON L7N 0A4, Canada CRC Press 2385 NW Executive Center Drive, Suite 320, Boca Raton FL 33431 4 Park Square, Milton Park, Abingdon, Oxon, OX14 4RN, UK © 2027 by Apple Academic Press, Inc. Apple Academic Press exclusively co-publishes with CRC Press, an imprint of Taylor & Francis Group, LLC Reasonable efforts have been made to publish reliable data and information, but the authors, editors, and publisher cannot assume responsibility for the validity of all materials or the consequences of their use. The authors, editors, and publishers have attempted to trace the copyright holders ofall material reproduced in this publication and apologize to copyright holders if permission to publish in this form has not been obtained. If any copyright material has not been acknowledged, please write and let us know so we may rectify in any future reprint. Except as permitted under U.S. Copyright Law, no part of this book may be reprinted, reproduced, transmitted, or utilized in any form by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying, microfilming, and recording, or in any information storage or retrieval system, without written permission from the publishers. For permission to photocopy or use material electronically from this work, access [www.copyright.com](www.copyright.com) or contact the Copyright Clearance Center, Inc. (CCC), 222 Rosewood Drive, Danvers, MA 01923, 978-750-8400. For works that are not available on CCC please contact mpkbookspermissions@tandf. [co.uk](co.uk) Trademark notice: Product or corporate names may be trademarks or registered trademarks and are used only for identification and explanation without intent to infringe. For Product Safety Concerns and Information please contact our EU representative [GPSR@taylorandfrancis.com](GPSR@taylorandfrancis.com) Taylor & Francis Verlag GmbH, Kaufingerstraße 24, 80331 München, Germany Library and Archives Canada Cataloguing in Publication Title: Mastering data science : unraveling patterns and predictive analytics for building intelligent systems / Aashi Singh Bhadouria, PhD, Anamika Ahirwar, PhD. Names: Bhadouria, Aashi Singh, author. | Ahirwar, Anamika, author. Description: First edition. | Includes bibliographical references and index. Identifiers: Canadiana (print) 20250334488 | Canadiana (ebook) 20250334542 | ISBN 9781779640505 (hardcover) | ISBN 9781779640512 (ebook) Subjects: LCSH: Big data. | LCSH: Electronic data processing. | LCSH: Data mining. | LCSH: Machine learning. Classification: LCC QA76.9.B45 B43 2026 | DDC 005.7—dc23 Library of Congress Cataloging‑in‑Publication Data Names: Bhadouria, Aashi Singh author | Ahirwar, Anamika author Title: Mastering data science : unraveling patterns and predictive analytics for building intelligent systems / Aashi Singh Bhadouria, PhD, Anamika Ahirwar, PhD. Description: First edition. | Palm Bay, FL : Apple Academic Press Inc | Includes bibliographical references and index. | Summary: “The importance of data science has never been greater than it is now, a time marked by the exponential increase of data and the transformational potential of information. This new book provides thorough and useful introduction to data science, covering the core ideas and methods needed to efficiently gather, clean, examine, analyze, and understand data. The book serves as the key to learning to take advantage of the enormous potential that data science provides and will prepare readers to handle real-world data difficulties and make data-informe

FAQs

What skills does the book help readers develop in data science?

It builds practical abilities in gathering, cleaning, examining, and analyzing data, and extends to data mining, big data technologies, statistical analysis, and machine learning. Readers also learn to make data-informed choices while addressing ethical considerations.

How does the book approach predictive analytics and intelligent systems?

The text links data patterns to predictive analytics and decision-making, showing how statistical foundations and machine learning methods support intelligent system development. Practical examples and case studies reinforce these ideas.

Does the book cover ethics and privacy in data-driven decision-making?

Yes. It includes ethics, privacy, and the ethical implications of data-driven decisions, alongside emerging trends and challenges shaping the future of data science.

Aug 2, 2026

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