Isbn: 9781529620917 - foundations of programming, statistics, and machine learning for business analytics (20 risultati)

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  • Lingua: Inglese

    Editore: SAGE Publications Ltd (edition 1), 2023

    1529620910 / 9781529620917

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    Paperback. Condizione: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

  • Lingua: Inglese

    Editore: SAGE Publications Ltd, 2023

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  • Lingua: Inglese

    Editore: SAGE Publications Ltd, 2023

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  • Lingua: Inglese

    Editore: SAGE Publications Ltd, 2023

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  • Lingua: Inglese

    Editore: SAGE Publications Ltd, London, 2023

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    Paperback. Condizione: new. Paperback. Business Analysts and Data Scientists are in huge demand, as global companies seek to digitally transform themselves and leverage their data resources to realize competitive advantage.This book covers all the fundamentals, from statistics to programming to business applications, to equip you with the solid foundational knowledge needed to progress in business analytics. Assuming no prior knowledge of programming or statistics, this book takes a simple step-by-step approach which makes potentially intimidating topics easy to understand, by keeping Maths to a minimum and including examples of business analytics in practice.Key features:* Introduces programming fundamentals using R and Python* Covers data structures, data management and manipulation and data visualization* Includes interactive coding notebooks so that you can build up your programming skills progressivelySuitable as an essential text for undergraduate and postgraduate students studying Business Analytics or as pre-reading for students studying Data Science.Ram Gopal is Pro-Dean and Professor of Information Systems at the University of Warwick.Daniel Philps is an Artificial Intelligence Researcher and Head of Rothko Investment Strategies.Tillman Weyde is Senior Lecturer at City, University of London. This book provides an introduction to the key concepts in programming, statistics and machine learning needed by business analytics students, assuming no prior knowledge and taking a step-by-step approach to help students build up their confidence. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

  • Lingua: Inglese

    Editore: SAGE Publications Ltd, 2023

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  • Lingua: Inglese

    Editore: SAGE Publications Ltd, 2023

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  • Lingua: Inglese

    Editore: SAGE Publications Ltd, 2023

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  • Lingua: Inglese

    Editore: SAGE Publications Ltd, 2023

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  • Lingua: Inglese

    Editore: SAGE Publications Ltd, 2023

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  • Lingua: Inglese

    Editore: Sage Publications|SAGE Publications Ltd, 2023

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    Kartoniert / Broschiert. Condizione: New. This book provides an introduction to the key concepts in programming, statistics and machine learning needed by business analytics students, assuming no prior knowledge and taking a step-by-step approach to help students build up their confidence.

  • Lingua: Inglese

    Editore: SAGE Publications Ltd, London, 2023

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    Paperback. Condizione: new. Paperback. Business Analysts and Data Scientists are in huge demand, as global companies seek to digitally transform themselves and leverage their data resources to realize competitive advantage.This book covers all the fundamentals, from statistics to programming to business applications, to equip you with the solid foundational knowledge needed to progress in business analytics. Assuming no prior knowledge of programming or statistics, this book takes a simple step-by-step approach which makes potentially intimidating topics easy to understand, by keeping Maths to a minimum and including examples of business analytics in practice.Key features:* Introduces programming fundamentals using R and Python* Covers data structures, data management and manipulation and data visualization* Includes interactive coding notebooks so that you can build up your programming skills progressivelySuitable as an essential text for undergraduate and postgraduate students studying Business Analytics or as pre-reading for students studying Data Science.Ram Gopal is Pro-Dean and Professor of Information Systems at the University of Warwick.Daniel Philps is an Artificial Intelligence Researcher and Head of Rothko Investment Strategies.Tillman Weyde is Senior Lecturer at City, University of London. This book provides an introduction to the key concepts in programming, statistics and machine learning needed by business analytics students, assuming no prior knowledge and taking a step-by-step approach to help students build up their confidence. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

  • Lingua: Inglese

    Editore: Sage Pubns Ltd, 2023

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    Paperback. Condizione: Brand New. 336 pages. 9.69x7.44x1.03 inches. In Stock.

  • Lingua: Inglese

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  • Lingua: Inglese

    Editore: SAGE Publications Ltd, 2023

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    Paperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

  • Lingua: Inglese

    Editore: SAGE Publications Ltd Apr 2023, 2023

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Business Analysts and Data Scientists are in huge demand, as global companies seek to digitally transform themselves and leverage their data resources to realize competitive advantage.This book covers all the fundamentals, from statistics to programming to business applications, to equip you with the solid foundational knowledge needed to progress in business analytics.Assuming no prior knowledge of programming or statistics, this book takes a simple step-by-step approach which makes potentially intimidating topics easy to understand, by keeping Maths to a minimum and including examples of business analytics in practice.Key features: Introduces programming fundamentals using R and Python Covers data structures, data management and manipulation and data visualization Includes interactive coding not Elektronisches Buch so that you can build up your programming skills progressivelySuitable as an essential text for undergraduate and postgraduate students studying Business Analytics or as pre-reading for students studying Data Science.Ram Gopalis Pro-Dean and Professor of Information Systems at the University of Warwick.Daniel Philpsis an Artificial Intelligence Researcher and Head of Rothko Investment Strategies.Tillman Weydeis Senior Lecturer at City, University of London. 512 pp. Englisch.

  • Lingua: Inglese

    Editore: SAGE Publications Ltd, 2023

    1529620910 / 9781529620917

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  • Lingua: Inglese

    Editore: SAGE Publications Ltd, 2023

    1529620910 / 9781529620917

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  • Lingua: Inglese

    Editore: Sage Pubns Ltd, 2023

    1529620910 / 9781529620917

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    Paperback. Condizione: Brand New. 336 pages. 9.69x7.44x1.03 inches. In Stock. This item is printed on demand.

  • Lingua: Inglese

    Editore: SAGE Publications Ltd, 2023

    1529620910 / 9781529620917

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    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Business Analysts and Data Scientists are in huge demand, as global companies seek to digitally transform themselves and leverage their data resources to realize competitive advantage. This book covers all the fundamentals, from statistics to programming to business applications, to equip you with the solid foundational knowledge needed to progress in business analytics. Assuming no prior knowledge of programming or statistics, this book takes a simple step-by-step approach which makes potentially intimidating topics easy to understand, by keeping Maths to a minimum and including examples of business analytics in practice. Key features: Introduces programming fundamentals using R and Python Covers data structures, data management and manipulation and data visualization Includes interactive coding not Elektronisches Buch so that you can build up your programming skills progressively Suitable as an essential text for undergraduate and postgraduate students studying Business Analytics or as pre-reading for students studying Data Science. Ram Gopalis Pro-Dean and Professor of Information Systems at the University of Warwick. Daniel Philpsis an Artificial Intelligence Researcher and Head of Rothko Investment Strategies. Tillman Weydeis Senior Lecturer at City, University of London.