Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 27,04
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Lingua: Inglese
Editore: Business Expert Press 7/6/2021, 2021
ISBN 10: 1631573454 ISBN 13: 9781631573453
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condizione: New. Essentials of Data Science and Analytics: Statistical Tools, Machine Learning, and R-Statistical Software Overview. Book.
Da: California Books, Miami, FL, U.S.A.
EUR 31,94
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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Aggiungi al carrelloPaperback. Condizione: New. This text provides a comprehensive overview of Data Science. With the continued advancement in storage and computing technologies, data science has emerged as one of the most desired fields in driving business decisions. Data science employs techniques and methods from many other fields, such as statistics, mathematics, computer science, and information science. Besides the methods and theories drawn from several fields, data science uses visualization techniques using specially designed big data software and statistical programming language, such as R programming, and Python. Data Science has wide applications in the areas of Machine Learning (ML) and Artificial Intelligence (AI). The book is divided into four different areas divided into different chapters. These chapters explain the core of Data Science. Part I of the book introduces the field of Data Science, different disciplines it comprises of, and the scope with future outlook and career prospects. This section also explains analytics, business analytics, and business intelligence and their similarities and differences with Data Science. Since the data is at the core of Data science, Part II is devoted to explaining the data, big data, and other features of data. One full chapter is devoted to Data Analysis, creating visuals, pivot table, and other applications using Excel with office 365. Part III explains the statistics behind Data Science. It uses several chapters to explain the statistics and its importance, numerical and data visualization tools and methods, probability, and probability distribution applications in Data Science. Other chapters in the Part III are Sampling, Estimation, and Hypothesis Testing. All these are integral part of Data Science applications. Part IV of the book provides the basics of Machine Learning (ML) and R-statistical software. Data Science has wide applications in the areas of Machine Learning (ML) and Artificial Intelligence (AI) and R-statistical software is widely used by data science professionals. The book also outlines a brief history, the body of knowledge, skills and education requirements for Data Scientist and data science professionals. Some statistics on job growth and prospects are also summarized. A career in data science is ranked at the third best job in America for 2020 by Glassdoor, and was ranked the number one best job from 2016-2019.[29].
Da: Majestic Books, Hounslow, Regno Unito
EUR 33,69
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 484.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 29,35
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Aggiungi al carrelloCondizione: New. 2021. paperback. . . . . . Books ship from the US and Ireland.
Lingua: Inglese
Editore: Business Expert Press 2021-04-30, 2021
ISBN 10: 1631573454 ISBN 13: 9781631573453
Da: Chiron Media, Wallingford, Regno Unito
EUR 28,23
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Aggiungi al carrelloPaperback. Condizione: New.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 40,09
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 31,17
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 34,80
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Da: Revaluation Books, Exeter, Regno Unito
EUR 44,90
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Aggiungi al carrelloPaperback. Condizione: Brand New. 150 pages. 8.98x6.02x1.06 inches. In Stock.
EUR 34,66
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Aggiungi al carrelloPaperback. Condizione: New. This text provides a comprehensive overview of Data Science. With the continued advancement in storage and computing technologies, data science has emerged as one of the most desired fields in driving business decisions. Data science employs techniques and methods from many other fields, such as statistics, mathematics, computer science, and information science. Besides the methods and theories drawn from several fields, data science uses visualization techniques using specially designed big data software and statistical programming language, such as R programming, and Python. Data Science has wide applications in the areas of Machine Learning (ML) and Artificial Intelligence (AI). The book is divided into four different areas divided into different chapters. These chapters explain the core of Data Science. Part I of the book introduces the field of Data Science, different disciplines it comprises of, and the scope with future outlook and career prospects. This section also explains analytics, business analytics, and business intelligence and their similarities and differences with Data Science. Since the data is at the core of Data science, Part II is devoted to explaining the data, big data, and other features of data. One full chapter is devoted to Data Analysis, creating visuals, pivot table, and other applications using Excel with office 365. Part III explains the statistics behind Data Science. It uses several chapters to explain the statistics and its importance, numerical and data visualization tools and methods, probability, and probability distribution applications in Data Science. Other chapters in the Part III are Sampling, Estimation, and Hypothesis Testing. All these are integral part of Data Science applications. Part IV of the book provides the basics of Machine Learning (ML) and R-statistical software. Data Science has wide applications in the areas of Machine Learning (ML) and Artificial Intelligence (AI) and R-statistical software is widely used by data science professionals. The book also outlines a brief history, the body of knowledge, skills and education requirements for Data Scientist and data science professionals. Some statistics on job growth and prospects are also summarized. A career in data science is ranked at the third best job in America for 2020 by Glassdoor, and was ranked the number one best job from 2016-2019.[29].
Lingua: Inglese
Editore: MP-BEP Business Expert Press, 2021
ISBN 10: 1631573454 ISBN 13: 9781631573453
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 31,58
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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: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: Brand New. 150 pages. 8.98x6.02x1.06 inches. In Stock. This item is printed on demand.
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 43,84
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 484.
Da: moluna, Greven, Germania
EUR 41,21
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a comprehensive overview of data science, including a brief history, and the body of knowledge, skills and education requirements for data scientist and data science professionals. Some statistics on job growth and prospects are also summarized.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 47,39
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data science and analytics have emerged as the most desired fields in driving business decisions. Using the techniques and methods of data science, decision makers can uncover hidden patterns in their data, develop algorithms and models that help improve processes and make key business decisions.Data science is a data driven decision making approach that uses several different areas and disciplines with a purpose of extracting insights and knowledge from structured and unstructured data. The algorithms and models of data science along with machine learning and predictive modeling are widely used in solving business problems and predicting future outcomes.This book combines the key concepts of data science and analytics to help you gain a practical understanding of these fields. The four different sections of the book are divided into chapters that explain the core of data science. Given the booming interest in data science, this book is timely and informative.
Da: preigu, Osnabrück, Germania
EUR 42,80
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Essentials of Data Science and Analytics | Statistical Tools, Machine Learning, and R-Statistical Software Overview | Amar Sahay | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2021 | Business Expert Press | EAN 9781631573453 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.