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Condition: Very Good. Used book that is in excellent condition. May show signs of wear or have minor defects.
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Big Data Analytics : A Guide to Data Science Practitioners Making the Transition to Big Data
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032458143 ISBN 13: 9781032458144
Language: English
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Paperback or Softback. Condition: New. Big Data Analytics: A Guide to Data Science Practitioners Making the Transition to Big Data. Book.
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Big Data Analytics : A Guide to Data Science Practitioners Making the Transition to Big Data
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032458143 ISBN 13: 9781032458144
Language: English
US$ 70.96
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Big Data Analytics : A Guide to Data Science Practitioners Making the Transition to Big Data
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032458143 ISBN 13: 9781032458144
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Big Data Analytics: A Guide to Data Science Practitioners Making the Transition to Big Data
Published by Taylor & Francis Ltd, 2023
ISBN 10: 1032458143 ISBN 13: 9781032458144
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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US$ 71.06
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 607.
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Big Data Analytics : A Guide to Data Science Practitioners Making the Transition to Big Data
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032458143 ISBN 13: 9781032458144
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 80.52
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Add to basketPaperback. Condition: Brand New. 328 pages. 10.00x7.00x0.74 inches. In Stock.
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Big Data Analytics: A Guide to Data Science Practitioners Making the Transition to Big Data (Chapman & Hall/CRC Data Science Series)
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032457554 ISBN 13: 9781032457550
Language: English
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Big Data Analytics : A Guide to Data Science Practitioners Making the Transition to Big Data
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032457554 ISBN 13: 9781032457550
Language: English
Condition: New.
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Big Data Analytics: A Guide to Data Science Practitioners Making the Transition to Big Data (Chapman & Hall/CRC Data Science Series)
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032457554 ISBN 13: 9781032457550
Language: English
Condition: New. 1st edition NO-PA16APR2015-KAP.
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Big Data Analytics: A Guide to Data Science Practitioners Making the Transition to Big Data (Chapman & Hall/CRC Data Science Series)
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032457554 ISBN 13: 9781032457550
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Big Data Analytics: A Guide to Data Science Practitioners Making the Transition to Big Data
Published by Taylor & Francis Ltd, 2023
ISBN 10: 1032457554 ISBN 13: 9781032457550
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
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Add to basketHardback. Condition: New. New copy - Usually dispatched within 4 working days. 500.
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Big Data Analytics : A Guide to Data Science Practitioners Making the Transition to Big Data
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032457554 ISBN 13: 9781032457550
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Big Data Analytics : A Guide to Data Science Practitioners Making the Transition to Big Data
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032457554 ISBN 13: 9781032457550
Language: English
Condition: As New. Unread book in perfect condition.
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Big Data Analytics: A Guide to Data Science Practitioners Making the Transition to Big Data (Chapman & Hall/CRC Data Science Series)
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032457554 ISBN 13: 9781032457550
Language: English
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Big Data Analytics : A Guide to Data Science Practitioners Making the Transition to Big Data
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032457554 ISBN 13: 9781032457550
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Add to basketHardcover. Condition: Brand New. 328 pages. 10.00x7.00x0.79 inches. In Stock.
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Big Data Analytics: A Guide to Data Science Practitioners Making the Transition to Big Data
Published by Taylor & Francis Ltd, 2023
ISBN 10: 1032458143 ISBN 13: 9781032458144
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 77.93
Convert currencyUS$ 21.15 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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Big Data Analytics : A Guide to Data Science Practitioners Making the Transition to Big Data
Published by Chapman And Hall/CRC, 2023
ISBN 10: 1032458143 ISBN 13: 9781032458144
Language: English
US$ 134.08
Convert currencyUS$ 73.55 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Successfully navigating the data-driven economy presupposes a certain understanding of the technologies and methods to gain insights from Big Data. This book aims to help data science practitioners to successfully manage the transition to Big Data. ¿Building on familiar content from applied econometrics and business analytics, this book introduces the reader to the basic concepts of Big Data Analytics. The focus of the book is on how to productively apply econometric and machine learning techniques with large, complex data sets, as well as on all the steps involved before analysing the data (data storage, data import, data preparation). The book combines conceptual and theoretical material with the practical application of the concepts using R and SQL. The reader will thus acquire the skills to analyse large data sets, both locally and in the cloud. Various code examples and tutorials, focused on empirical economic and business research, illustrate practical techniques to handle and analyse Big Data.¿¿Key Features:¿¿ Includes many code examples in R and SQL, with R/SQL scripts freely provided online. ¿ Extensive use of real datasets from empirical economic research and business analytics, with data files freely provided online. ¿ Leads students and practitioners to think critically about where the bottlenecks are in practical data analysis tasks with large data sets, and how to address them. ¿¿The book is a valuable resource for data science practitioners, graduate students and researchers who aim to gain insights from big data in the context of research questions in business, economics, and the social sciences.¿.
-
Big Data Analytics : A Guide to Data Science Practitioners Making the Transition to Big Data
Published by Chapman And Hall/CRC, 2023
ISBN 10: 1032457554 ISBN 13: 9781032457550
Language: English
US$ 332.54
Convert currencyUS$ 74.68 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Successfully navigating the data-driven economy presupposes a certain understanding of the technologies and methods to gain insights from Big Data. This book aims to help data science practitioners to successfully manage the transition to Big Data. ¿Building on familiar content from applied econometrics and business analytics, this book introduces the reader to the basic concepts of Big Data Analytics. The focus of the book is on how to productively apply econometric and machine learning techniques with large, complex data sets, as well as on all the steps involved before analysing the data (data storage, data import, data preparation). The book combines conceptual and theoretical material with the practical application of the concepts using R and SQL. The reader will thus acquire the skills to analyse large data sets, both locally and in the cloud. Various code examples and tutorials, focused on empirical economic and business research, illustrate practical techniques to handle and analyse Big Data.¿¿Key Features:¿¿ Includes many code examples in R and SQL, with R/SQL scripts freely provided online. ¿ Extensive use of real datasets from empirical economic research and business analytics, with data files freely provided online. ¿ Leads students and practitioners to think critically about where the bottlenecks are in practical data analysis tasks with large data sets, and how to address them. ¿¿The book is a valuable resource for data science practitioners, graduate students and researchers who aim to gain insights from big data in the context of research questions in business, economics, and the social sciences.¿.
