Shulph Ink
Data Science and Analytics
Data Science and Analytics
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Data Science and Analytics explores the solutions to society, environment, and industry problems using big data and business analytics. It provides insights to researchers, academics, and practitioners on how to efficiently utilize big data in better managerial applications.
Format: Hardback
Length: 216 pages
Publication date: 04 December 2020
Publisher: Emerald Publishing Limited
Data Science and Analytics is a field that delves into finding solutions to societal, environmental, and industrial challenges. The availability of data has surged, making analytics a crucial component for organizations' success, both in terms of revenue and profitability. This book explores the growing importance of big data and business analytics in enhancing decision-making processes. It features perspectives from academics, researchers, industry experts, policymakers, and practitioners, showcasing how big data can be effectively leveraged for better managerial applications.
Data Science and Analytics encompasses a broad spectrum of topics across various fields. This comprehensive book offers valuable insights to researchers, academics, data scientists, and data analysts from diverse disciplines, with an interest in analyzing and applying big data analytics. It also serves as a valuable resource for students and scholars pursuing advanced studies in big data.
The book's chapters are authored by experts in their respective fields, providing a wealth of knowledge and expertise. They cover a range of topics, including big data technologies, data management, machine learning, artificial intelligence, business analytics, and real-world applications. Each chapter offers practical examples, case studies, and insights to help readers understand the practical implications and applications of big data and business analytics.
By exploring the intersection of data science, analytics, and industry, this book provides a comprehensive understanding of how big data can drive innovation, improve efficiency, and solve complex problems. It serves as a valuable guide for professionals, researchers, and students looking to stay ahead in the rapidly evolving field of big data and business analytics.
Weight: 442g
Dimension: 160 x 238 x 22 (mm)
ISBN-13: 9781800438774
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