advanced data science and analytics with python · advanced data science and analytics with python...

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May 2020: 235 x 191: 432pp 25 illustrations Hb: 978-0-429-44661-0 | £100.00 Pb: 978-1-138-31506-8 | £45.99 eBook: 978-0-429-44664-1 20% Discount Available With This Flyer! Advanced Data Science and Analytics with Python Jesus Rogel-Salazar, Imperial College London, UK Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series The book is intended for practitioners in data science and data analytics in both academic and business environments. It aims to present the reader with concepts in data science and analytics that were deemed to be more advanced or simply out of scope in the author's first book, and are used in data analytics using tools developed in Python such as SciKit Learn, Pandas, Numpy, etc. The use of Python is of particular benefit given its recent popularity in the data science community. The book is therefore a reference to be used by seasoned programmers and newcomers alike and the key benefit is the practical approach presented throughout the book. 20% Discount Available - enter the code SCI20 at checkout* Hb: 978-0-429-44661-0 | £80.00 Pb: 978-1-138-31506-8 | £36.79 * Offer cannot be used in conjunction with any other offer or discount and only applies to books purchased directly via our website. To order a review copy, please order a copy at https://m.email.taylorandfrancis.com/ Review_copy_request For more information visit: www.crcpress.com/9781138315068

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Page 1: Advanced Data Science and Analytics with Python · Advanced Data Science and Analytics with Python Jesus Rogel-Salazar, Imperial College London, UK Series: Chapman & Hall/CRC Data

May 2020: 235 x 191: 432pp25 illustrations

Hb: 978-0-429-44661-0 | £100.00Pb: 978-1-138-31506-8 | £45.99eBook: 978-0-429-44664-1

20% Discount Available With This Flyer!

Advanced Data Scienceand Analytics withPythonJesus Rogel-Salazar, Imperial College London, UK

Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

The book is intended for practitioners in data science and data analytics in both academic and business environments. It aims to present the reader with concepts in data science and analytics that were deemed to be more advanced or simply out of scope in the author's first book, and are used in data analytics using tools developed in Python such as SciKit Learn, Pandas, Numpy, etc. The use of Python is of particular benefit given its recent popularity in the data science community. The book is therefore a reference to be used by seasoned programmers and newcomers alike and the key benefit is the practical approach presented throughout the book.

20% Discount Available - enter the code SCI20 at checkout*Hb: 978-0-429-44661-0 | £80.00Pb: 978-1-138-31506-8 | £36.79* Offer cannot be used in conjunction with any other offer or discount and only applies to books purchased directly via our website.

To order a review copy, please order a copy at https://m.email.taylorandfrancis.com/Review_copy_request

For more information visit:www.crcpress.com/9781138315068

Page 2: Advanced Data Science and Analytics with Python · Advanced Data Science and Analytics with Python Jesus Rogel-Salazar, Imperial College London, UK Series: Chapman & Hall/CRC Data