9780367760489 - common data sense for professionals: a process-oriented approach for data-science projects di jugulum, rajesh (18 risultati)

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  • Lingua: Inglese

    Editore: Productivity Pr, 2022

    0367760487 / 9780367760489

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    Condizione: very_good. Fast Free Shipping â" Very Good condition book with a firm cover and clean pages. Shows normal use and some light wear or limited notes markings. A solid, nice copy to enjoy.

  • Lingua: Inglese

    Editore: Productivity Pr, 2022

    0367760487 / 9780367760489

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  • Lingua: Inglese

    Editore: Productivity Pr, 2022

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  • Lingua: Inglese

    Editore: Productivity Pr, 2022

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    Da: California Books, Miami, FL, U.S.A.California Books

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  • Lingua: Inglese

    Editore: Productivity Pr, 2022

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    Da: Majestic Books, Hounslow, Regno UnitoMajestic Books

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  • Lingua: Inglese

    Editore: Productivity Pr, 2022

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  • Lingua: Inglese

    Editore: Productivity Pr, 2022

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    Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK

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  • Lingua: Inglese

    Editore: Productivity Pr, 2022

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    Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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  • Lingua: Inglese

    Editore: Productivity Pr, 2022

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    Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK

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  • Lingua: Inglese

    Editore: Productivity Pr, 2022

    0367760487 / 9780367760489

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    Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections

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  • Lingua: Inglese

    Editore: Taylor & Francis Ltd, 2022

    0367760487 / 9780367760489

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    Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE

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    Paperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.

  • Lingua: Inglese

    Editore: Productivity Pr, 2022

    0367760487 / 9780367760489

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    Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books

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    Paperback. Condizione: Brand New. 104 pages. 9.25x6.25x0.25 inches. In Stock.

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    Lingua: Inglese

    Editore: Productivity Press, 2022

    0367760487 / 9780367760489

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    Da: preigu, Osnabrück, Germaniapreigu

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    Taschenbuch. Condizione: Neu. Common Data Sense for Professionals | A Process-Oriented Approach for Data-Science Projects | Rajesh Jugulum | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2022 | Productivity Press | EAN 9780367760489 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

  • Lingua: Inglese

    Editore: Taylor and Francis, 2022

    0367760487 / 9780367760489

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    Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US

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    PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

  • Lingua: Inglese

    Editore: Taylor and Francis, 2022

    0367760487 / 9780367760489

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    Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK

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    PAP. 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.

  • Lingua: Inglese

    Editore: Productivity Press Jan 2022, 2022

    0367760487 / 9780367760489

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    EUR 38,60

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data is an intrinsic part of our daily lives. Everything we do is a data point. Many of these data points are recorded with the intent to help us lead more efficient lives. We have apps that track our workouts, sleep, food intake, and personal finance. We use the data to make changes to our lives based on goals we have set for ourselves. Businesses use vast collections of data to determine strategy and marketing. Data scientists take data, analyze it, and create models to help solve problems. You may have heard of companies having data management teams or chief information officers (CIOs) or chief data officers (CDOs), etc. They are all people who work with data, but their function is more related to vetting data and preparing it for use by data scientists. The jump from personal data usage for self-betterment to mass data analysis for business process improvement often feels bigger to us than it is. In turn, we often think big data analysis requires tools held only by advanced degree holders. Although advanced degrees are certainly valuable, this book illustrates how it is not a requirement to adequately run a data science project. Because we are all already data users, with some simple strategies and exposure to basic analytical software programs, anyone who has the proper tools and determination can solve data science problems. The process presented in this book will help empower individuals to work on and solve data-related challenges. The goal of this book is to provide a step-by-step guide to the data science process so that you can feel confident in leading your own data science project. To aid with clarity and understanding, the author presents a fictional restaurant chain to use as a case study, illustrating how the various topics discussed can be applied. Essentially, this book helps traditional businesspeople solve data-related problems on their own without any hesitation or fear. The powerful methods are presented in the form of conversations, examples, and case studies. The conversational style is engaging and provides clarity. 124 pp. Englisch.

  • Lingua: Inglese

    Editore: Productivity Press, 2022

    0367760487 / 9780367760489

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    • Print on Demand

    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    EUR 46,80

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    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data is an intrinsic part of our daily lives. Everything we do is a data point. Many of these data points are recorded with the intent to help us lead more efficient lives. We have apps that track our workouts, sleep, food intake, and personal finance. We use the data to make changes to our lives based on goals we have set for ourselves. Businesses use vast collections of data to determine strategy and marketing. Data scientists take data, analyze it, and create models to help solve problems. You may have heard of companies having data management teams or chief information officers (CIOs) or chief data officers (CDOs), etc. They are all people who work with data, but their function is more related to vetting data and preparing it for use by data scientists. The jump from personal data usage for self-betterment to mass data analysis for business process improvement often feels bigger to us than it is. In turn, we often think big data analysis requires tools held only by advanced degree holders. Although advanced degrees are certainly valuable, this book illustrates how it is not a requirement to adequately run a data science project. Because we are all already data users, with some simple strategies and exposure to basic analytical software programs, anyone who has the proper tools and determination can solve data science problems. The process presented in this book will help empower individuals to work on and solve data-related challenges. The goal of this book is to provide a step-by-step guide to the data science process so that you can feel confident in leading your own data science project. To aid with clarity and understanding, the author presents a fictional restaurant chain to use as a case study, illustrating how the various topics discussed can be applied. Essentially, this book helps traditional businesspeople solve data-related problems on their own without any hesitation or fear. The powerful methods are presented in the form of conversations, examples, and case studies. The conversational style is engaging and provides clarity.

  • Lingua: Inglese

    Editore: Taylor & Francis, 2022

    0367760487 / 9780367760489

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    • Print on Demand

    Da: moluna, Greven, Germaniamoluna

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    EUR 33,93

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    Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Rajesh Jugulum, PhD, is a data science innovation, analytics and process-engineering leader. He has experience in these areas in different types of industries including healthcare, finance and manufacturing. He held executive positions i.