Data Science and Analytics with Python

Author:   Jesus Rogel-Salazar (Imperial College London, UK)
Publisher:   Taylor & Francis Ltd
Edition:   2nd edition
ISBN:  

9781032772523


Pages:   474
Publication Date:   02 June 2025
Format:   Hardback
Availability:   In Print   Availability explained
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Data Science and Analytics with Python


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Author:   Jesus Rogel-Salazar (Imperial College London, UK)
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Edition:   2nd edition
Weight:   1.110kg
ISBN:  

9781032772523


ISBN 10:   1032772522
Pages:   474
Publication Date:   02 June 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Dr Jesús Rogel-Salazar is a Lead Data Scientist with experience in the field working for companies such as The Ortus Group, TympaHealth, Barclays Bank, AKQA, IBM Data Science Studio, Dow Jones and others. He is a visiting researcher at the Department of Physics, and the Business School at Imperial College London, UK and a a member of the School of Physics, Astronomy and Mathematics at the University of Hertfordshire, UK. He obtained his doctorate in Physics at Imperial College London for work on quantum atom optics and ultra-cold matter. He has held a position as senior lecturer in mathematics as well as a consultant and data scientist in the financial industry since 2006. He is the author of the book Essential Matlab and Octave and the companion book to this volume Advanced Data Science and Analytics with Python and Statistics and Data Visualisation with Python, also published with CRC Press. His interests include mathematical modelling, data science and optimisation in a wide range of applications including optics, quantum mechanics, data journalism, telematics, fintech and healthtech.

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