EUR 23,68
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Packt Publishing 5/31/2019, 2019
ISBN 10: 1838985298 ISBN 13: 9781838985295
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condizione: New. Principles of Strategic Data Science. Book.
EUR 24,68
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: California Books, Miami, FL, U.S.A.
EUR 27,21
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Packt Publishing Limited, GB, 2019
ISBN 10: 1838985298 ISBN 13: 9781838985295
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
EUR 30,47
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Take the strategic and systematic approach to analyze data to solve business problemsKey FeaturesGain detailed information about the theory of data scienceAugment your coding knowledge with practical data science techniques for efficient data analysis Learn practical ways to strategically and systematically use dataBook DescriptionPrinciples of Strategic Data Science is created to help you join the dots between mathematics, programming, and business analysis.With a unique approach that bridges the gap between mathematics and computer science, this book takes you through the entire data science pipeline. The book begins by explaining what data science is and how organizations can use it to revolutionize the way they use their data. It then discusses the criteria for the soundness of data products and how to best visualize information. As you progress, you'll discover the strategic aspects of data science by learning the five-phase framework that enables you to enhance the value you extract from data. The final chapter of the book discusses the role of a data science manager in helping an organization take the data-driven approach. By the end of this book, you'll have a good understanding of data science and how it can enable you to extract value from your data.What you will learnGet familiar with the five most important steps of data scienceUse the Conway diagram to visualize the technical skills of the data science teamUnderstand the limitations of data science from a mathematical and ethical perspectiveGet a quick overview of machine learningGain insight into the purpose of using data science in your workUnderstand the role of data science managers and their expectationsWho this book is forThis book is ideal for data scientists and data analysts who are looking for a practical guide to strategically and systematically use data. This book is also useful for those who want to understand in detail what is data science and how can an organization take the data-driven approach. Prior programming knowledge of Python and R is assumed.
Lingua: Inglese
Editore: Packt Publishing Limited, GB, 2019
ISBN 10: 1838985298 ISBN 13: 9781838985295
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 32,01
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Take the strategic and systematic approach to analyze data to solve business problemsKey FeaturesGain detailed information about the theory of data scienceAugment your coding knowledge with practical data science techniques for efficient data analysis Learn practical ways to strategically and systematically use dataBook DescriptionPrinciples of Strategic Data Science is created to help you join the dots between mathematics, programming, and business analysis.With a unique approach that bridges the gap between mathematics and computer science, this book takes you through the entire data science pipeline. The book begins by explaining what data science is and how organizations can use it to revolutionize the way they use their data. It then discusses the criteria for the soundness of data products and how to best visualize information. As you progress, you'll discover the strategic aspects of data science by learning the five-phase framework that enables you to enhance the value you extract from data. The final chapter of the book discusses the role of a data science manager in helping an organization take the data-driven approach. By the end of this book, you'll have a good understanding of data science and how it can enable you to extract value from your data.What you will learnGet familiar with the five most important steps of data scienceUse the Conway diagram to visualize the technical skills of the data science teamUnderstand the limitations of data science from a mathematical and ethical perspectiveGet a quick overview of machine learningGain insight into the purpose of using data science in your workUnderstand the role of data science managers and their expectationsWho this book is forThis book is ideal for data scientists and data analysts who are looking for a practical guide to strategically and systematically use data. This book is also useful for those who want to understand in detail what is data science and how can an organization take the data-driven approach. Prior programming knowledge of Python and R is assumed.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 27,12
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
EUR 24,13
Quantità: 10 disponibili
Aggiungi al carrelloPF. Condizione: New.
EUR 27,08
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
EUR 30,30
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Condizione: New. pp. 104.
Lingua: Inglese
Editore: Packt Publishing Limited, GB, 2019
ISBN 10: 1838985298 ISBN 13: 9781838985295
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
EUR 32,65
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Take the strategic and systematic approach to analyze data to solve business problemsKey FeaturesGain detailed information about the theory of data scienceAugment your coding knowledge with practical data science techniques for efficient data analysis Learn practical ways to strategically and systematically use dataBook DescriptionPrinciples of Strategic Data Science is created to help you join the dots between mathematics, programming, and business analysis.With a unique approach that bridges the gap between mathematics and computer science, this book takes you through the entire data science pipeline. The book begins by explaining what data science is and how organizations can use it to revolutionize the way they use their data. It then discusses the criteria for the soundness of data products and how to best visualize information. As you progress, you'll discover the strategic aspects of data science by learning the five-phase framework that enables you to enhance the value you extract from data. The final chapter of the book discusses the role of a data science manager in helping an organization take the data-driven approach. By the end of this book, you'll have a good understanding of data science and how it can enable you to extract value from your data.What you will learnGet familiar with the five most important steps of data scienceUse the Conway diagram to visualize the technical skills of the data science teamUnderstand the limitations of data science from a mathematical and ethical perspectiveGet a quick overview of machine learningGain insight into the purpose of using data science in your workUnderstand the role of data science managers and their expectationsWho this book is forThis book is ideal for data scientists and data analysts who are looking for a practical guide to strategically and systematically use data. This book is also useful for those who want to understand in detail what is data science and how can an organization take the data-driven approach. Prior programming knowledge of Python and R is assumed.
Lingua: Inglese
Editore: Packt Publishing Limited, GB, 2019
ISBN 10: 1838985298 ISBN 13: 9781838985295
Da: Rarewaves.com UK, London, Regno Unito
EUR 28,93
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Take the strategic and systematic approach to analyze data to solve business problemsKey FeaturesGain detailed information about the theory of data scienceAugment your coding knowledge with practical data science techniques for efficient data analysis Learn practical ways to strategically and systematically use dataBook DescriptionPrinciples of Strategic Data Science is created to help you join the dots between mathematics, programming, and business analysis.With a unique approach that bridges the gap between mathematics and computer science, this book takes you through the entire data science pipeline. The book begins by explaining what data science is and how organizations can use it to revolutionize the way they use their data. It then discusses the criteria for the soundness of data products and how to best visualize information. As you progress, you'll discover the strategic aspects of data science by learning the five-phase framework that enables you to enhance the value you extract from data. The final chapter of the book discusses the role of a data science manager in helping an organization take the data-driven approach. By the end of this book, you'll have a good understanding of data science and how it can enable you to extract value from your data.What you will learnGet familiar with the five most important steps of data scienceUse the Conway diagram to visualize the technical skills of the data science teamUnderstand the limitations of data science from a mathematical and ethical perspectiveGet a quick overview of machine learningGain insight into the purpose of using data science in your workUnderstand the role of data science managers and their expectationsWho this book is forThis book is ideal for data scientists and data analysts who are looking for a practical guide to strategically and systematically use data. This book is also useful for those who want to understand in detail what is data science and how can an organization take the data-driven approach. Prior programming knowledge of Python and R is assumed.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 30,95
Quantità: Più di 20 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 28,92
Quantità: Più di 20 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 32,57
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Da: Majestic Books, Hounslow, Regno Unito
EUR 56,83
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. 104.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 56,70
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 104.
Da: moluna, Greven, Germania
EUR 33,23
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Principles of Strategic Data Science describes a framework that creates value from data to help organizations meet their objectives. With this book, you ll bridge the gap between mathematics and computer science and also gain insight into the workings of th.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 39,63
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.
Da: preigu, Osnabrück, Germania
EUR 34,55
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Principles of Strategic Data Science | Peter Prevos | Taschenbuch | Kartoniert / Broschiert | Englisch | 2019 | Packt Publishing | EAN 9781838985295 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.