Data science in theory and practice : techniques for big data analytics and complex data sets /

"This textbook is dedicated to practitioners, graduate, and advanced undergraduate students who have interest in Data Science, Business analytics, and Statistical and Mathematical Modeling in different disciplines such as Finance, Geophysics, and Engineering. This book is designed to serve as a...

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Bibliographic Details
Main Authors: Mariani, Maria C. (Author), Tweneboah, Osei Kofi, 1988- (Author), Beccar-Varela, Maria Pia (Author)
Format: eBook
Language:English
Published: Hoboken, NJ : John Wiley & Sons, Inc., 2022.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:"This textbook is dedicated to practitioners, graduate, and advanced undergraduate students who have interest in Data Science, Business analytics, and Statistical and Mathematical Modeling in different disciplines such as Finance, Geophysics, and Engineering. This book is designed to serve as a textbook for several courses in the aforementioned areas and a reference guide for practitioners in the industry. The book has a strong theoretical background and several applications to specific practical problems. It contains numerous techniques applicable to modern data science and other disciplines. In today's world, many fields are confronted with increasingly large amounts of complex data. Financial, healthcare, and geophysical data sampled with high frequency is no exception. These staggering amounts of data pose special challenges to the world of finance and other disciplines such as healthcare and geophysics, as traditional models and information technology tools can be poorly suited to grapple with their size and complexity. Probabilistic modeling, mathematical modeling, and statistical data analysis attempt to discover order from apparent disorder; this textbook may serve as a guide to various new systematic approaches on how to implement these quantitative activities with complex data sets."--
Physical Description:1 online resource (xxiv, 370 pages) : illustrations (some color)
Bibliography:Includes bibliographical references and index.
ISBN:9781119674757
1119674751
1119674700
9781119674733
1119674735
9781119674702