Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108472443 ISBN 13: 9781108472449
Librería: 4085dobson, Boynton beach, FL, Estados Unidos de America
Original o primera edición
EUR 24,44
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Añadir al carritoHardcover. Condición: Very Good. 1st Edition.
Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108472443 ISBN 13: 9781108472449
Librería: WorldofBooks, Goring-By-Sea, WS, Reino Unido
EUR 38,48
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Añadir al carritoPaperback. Condición: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108472443 ISBN 13: 9781108472449
Librería: Textbooks_Source, Columbia, MO, Estados Unidos de America
Original o primera edición
EUR 46,51
Cantidad disponible: 13 disponibles
Añadir al carritohardcover. Condición: New. 1st Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108472443 ISBN 13: 9781108472449
Librería: medimops, Berlin, Alemania
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Añadir al carritoCondición: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.
Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108472443 ISBN 13: 9781108472449
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 63,05
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108472443 ISBN 13: 9781108472449
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 64,58
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Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108472443 ISBN 13: 9781108472449
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108472443 ISBN 13: 9781108472449
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Añadir al carritoCondición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108472443 ISBN 13: 9781108472449
Librería: Basi6 International, Irving, TX, Estados Unidos de America
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Añadir al carritoCondición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108472443 ISBN 13: 9781108472449
Librería: SMASS Sellers, IRVING, TX, Estados Unidos de America
EUR 70,97
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Añadir al carritoCondición: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2020
ISBN 10: 1108472443 ISBN 13: 9781108472449
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 74,21
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Añadir al carritoHardcover. Condición: new. Hardcover. This book introduces the field of data science in a practical and accessible manner, using a hands-on approach that assumes no prior knowledge of the subject. The foundational ideas and techniques of data science are provided independently from technology, allowing students to easily develop a firm understanding of the subject without a strong technical background, as well as being presented with material that will have continual relevance even after tools and technologies change. Using popular data science tools such as Python and R, the book offers many examples of real-life applications, with practice ranging from small to big data. A suite of online material for both instructors and students provides a strong supplement to the book, including datasets, chapter slides, solutions, sample exams and curriculum suggestions. This entry-level textbook is ideally suited to readers from a range of disciplines wishing to build a practical, working knowledge of data science. A practical introduction to data science with a low barrier entry, this textbook is well-suited to students from a range of disciplines. Assuming no prior knowledge of the subject, the hands-on exercises and real-life application of popular data science tools are accessible even to students without a strong technical background. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Publicado por Cambridge University Press CUP, 2020
ISBN 10: 1108472443 ISBN 13: 9781108472449
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 73,02
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108472443 ISBN 13: 9781108472449
Librería: Majestic Books, Hounslow, Reino Unido
EUR 70,10
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press 2020-04-02, 2020
ISBN 10: 1108472443 ISBN 13: 9781108472449
Librería: Chiron Media, Wallingford, Reino Unido
EUR 59,45
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Añadir al carritoHardcover. Condición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108472443 ISBN 13: 9781108472449
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 64,38
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Añadir al carritoCondición: New. In.
Idioma: Inglés
Publicado por Cambridge University Press, GB, 2020
ISBN 10: 1108472443 ISBN 13: 9781108472449
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 80,04
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Añadir al carritoHardback. Condición: New. This book introduces the field of data science in a practical and accessible manner, using a hands-on approach that assumes no prior knowledge of the subject. The foundational ideas and techniques of data science are provided independently from technology, allowing students to easily develop a firm understanding of the subject without a strong technical background, as well as being presented with material that will have continual relevance even after tools and technologies change. Using popular data science tools such as Python and R, the book offers many examples of real-life applications, with practice ranging from small to big data. A suite of online material for both instructors and students provides a strong supplement to the book, including datasets, chapter slides, solutions, sample exams and curriculum suggestions. This entry-level textbook is ideally suited to readers from a range of disciplines wishing to build a practical, working knowledge of data science.
Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108472443 ISBN 13: 9781108472449
Librería: GoldBooks, Denver, CO, Estados Unidos de America
EUR 76,21
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Añadir al carritoHardcover. Condición: new. New Copy. Customer Service Guaranteed.
Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108472443 ISBN 13: 9781108472449
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 67,57
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Añadir al carritoCondición: New. 2020. Hardcover. . . . . .
Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108472443 ISBN 13: 9781108472449
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 62,42
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Pr. Apr 2020, 2020
ISBN 10: 1108472443 ISBN 13: 9781108472449
Librería: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Alemania
EUR 55,80
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. Neuware -This book introduces the field of data science in a practical and accessible manner, using a hands-on approach that assumes no prior knowledge of the subject. The foundational ideas and techniques of data science are provided independently from technology, allowing students to easily develop a firm understanding of the subject without a strong technical background, as well as being presented with material that will have continual relevance even after tools and technologies change. Using popular data science tools such as Python and R, the book offers many examples of real-life applications, with practice ranging from small to big data. A suite of online material for both instructors and students provides a strong supplement to the book, including datasets, chapter slides, solutions, sample exams and curriculum suggestions. This entry-level textbook is ideally suited to readers from a range of disciplines wishing to build a practical, working knowledge of data science. 400 pp. Englisch.
Idioma: Inglés
Publicado por Cambridge University Pr. Apr 2020, 2020
ISBN 10: 1108472443 ISBN 13: 9781108472449
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 55,80
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. Neuware -This book introduces the field of data science in a practical and accessible manner, using a hands-on approach that assumes no prior knowledge of the subject. The foundational ideas and techniques of data science are provided independently from technology, allowing students to easily develop a firm understanding of the subject without a strong technical background, as well as being presented with material that will have continual relevance even after tools and technologies change. Using popular data science tools such as Python and R, the book offers many examples of real-life applications, with practice ranging from small to big data. A suite of online material for both instructors and students provides a strong supplement to the book, including datasets, chapter slides, solutions, sample exams and curriculum suggestions. This entry-level textbook is ideally suited to readers from a range of disciplines wishing to build a practical, working knowledge of data science. 400 pp. Englisch.
Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108472443 ISBN 13: 9781108472449
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 70,97
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108472443 ISBN 13: 9781108472449
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 84,51
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Añadir al carritoCondición: New. 2020. Hardcover. . . . . . Books ship from the US and Ireland.
Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108472443 ISBN 13: 9781108472449
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 89,80
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108472443 ISBN 13: 9781108472449
Librería: moluna, Greven, Alemania
EUR 55,61
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Añadir al carritoCondición: New. A practical introduction to data science with a low barrier entry, this textbook is well-suited to students from a range of disciplines. Assuming no prior knowledge of the subject, the hands-on exercises and real-life application of popular data science too.
EUR 96,32
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 433 pages. 9.75x7.75x1.00 inches. In Stock.
Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108472443 ISBN 13: 9781108472449
Librería: Mooney's bookstore, Den Helder, Holanda
EUR 95,83
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Añadir al carritoCondición: Very good.
Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108472443 ISBN 13: 9781108472449
Librería: preigu, Osnabrück, Alemania
EUR 52,60
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Añadir al carritoBuch. Condición: Neu. A Hands-On Introduction to Data Science | Chirag Shah | Buch | Gebunden | Englisch | 2020 | Cambridge University Press | EAN 9781108472449 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por Cambridge University Pr. Apr 2020, 2020
ISBN 10: 1108472443 ISBN 13: 9781108472449
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 64,60
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. Neuware - This book introduces the field of data science in a practical and accessible manner, using a hands-on approach that assumes no prior knowledge of the subject. The foundational ideas and techniques of data science are provided independently from technology, allowing students to easily develop a firm understanding of the subject without a strong technical background, as well as being presented with material that will have continual relevance even after tools and technologies change. Using popular data science tools such as Python and R, the book offers many examples of real-life applications, with practice ranging from small to big data. A suite of online material for both instructors and students provides a strong supplement to the book, including datasets, chapter slides, solutions, sample exams and curriculum suggestions. This entry-level textbook is ideally suited to readers from a range of disciplines wishing to build a practical, working knowledge of data science.
Idioma: Inglés
Publicado por Cambridge University Press, GB, 2020
ISBN 10: 1108472443 ISBN 13: 9781108472449
Librería: Rarewaves.com UK, London, Reino Unido
EUR 74,38
Cantidad disponible: 15 disponibles
Añadir al carritoHardback. Condición: New. This book introduces the field of data science in a practical and accessible manner, using a hands-on approach that assumes no prior knowledge of the subject. The foundational ideas and techniques of data science are provided independently from technology, allowing students to easily develop a firm understanding of the subject without a strong technical background, as well as being presented with material that will have continual relevance even after tools and technologies change. Using popular data science tools such as Python and R, the book offers many examples of real-life applications, with practice ranging from small to big data. A suite of online material for both instructors and students provides a strong supplement to the book, including datasets, chapter slides, solutions, sample exams and curriculum suggestions. This entry-level textbook is ideally suited to readers from a range of disciplines wishing to build a practical, working knowledge of data science.