Da: California Books, Miami, FL, U.S.A.
EUR 30,48
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Editore: Data Science Innovation 2/12/2021, 2021
ISBN 10: 1736183001 ISBN 13: 9781736183007
Lingua: Inglese
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
EUR 29,98
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Aggiungi al carrelloPaperback or Softback. Condizione: New. Business Skills for Data Scientists: Practical Guidance in Six Key Topics 1.21. Book.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 31,77
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 27,51
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 29,93
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 30,99
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Da: Best Price, Torrance, CA, U.S.A.
EUR 23,24
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Aggiungi al carrelloCondizione: New. SUPER FAST SHIPPING.
Editore: Data Science Innovation 2021-02, 2021
ISBN 10: 1736183001 ISBN 13: 9781736183007
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 28,05
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 34,45
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Da: Revaluation Books, Exeter, Regno Unito
EUR 41,26
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Aggiungi al carrelloPaperback. Condizione: Brand New. 304 pages. 9.02x5.98x0.83 inches. In Stock.
Da: Books Puddle, New York, NY, U.S.A.
EUR 47,66
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Editore: Data Science Innovation
Da: Academic Book Solutions, Medford, NY, U.S.A.
EUR 13,91
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Aggiungi al carrelloPaperback. Condizione: VeryGood. A copy that may have been read, very minimal wear and tear. May have a remainder mark.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 26,34
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Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 36,26
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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 32,40
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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: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 35,74
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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 152.
Da: Majestic Books, Hounslow, Regno Unito
EUR 46,49
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 49,29
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Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 43,52
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book explains the foundational business skills you'll need to deliver business value and grow your career as an analyst or data scientist. Drawing on best practices, published research, case studies and personal anecdotes from two decades of industry experience, David Stephenson lays out a practical and concise overview of foundational skills related to Company, Colleagues, Storytelling, Expectations, Results and Careers--emphasizing how each topic relates to your unique position as an analytics professional within a larger corporation. From the introduction: 'The six topics in this book-company, colleagues, communication (storytelling), expectations, results and careers-are covered in six sections. They are presented roughly in the order you'll need them during your career, with project leadership skills coming later in the book. The final topic, careers, will be relevant at all stages of your career, even as you pursue your first job as a data scientist. The first section, company, will help you work within a larger organization. Chapter one discusses how organizations generally view data scientists, why they hire them and what they expect from them. This chapter begins to explain how you as a data scientist can produce business value, a topic that is more fully developed in chapter ten. Chapter two describes how to relate to the diverse range of individuals within your organization. By understanding how various roles and functions differ in their goals and values, you will be better prepared to deliver valuable results to them. The second section, colleagues, covers interpersonal challenges that often present significant problems for data scientists-cultural misunderstandings, negotiating through disagreements, and office politics. Younger data scientists generally perceive these topics as less important, until the day when they suddenly find them extremely important. The third section, storytelling, covers principles and methods key to oral and visual presentations. This section describes how to clarify your message, which is easy in principle but difficult in practice, and how to produce clear slides, graphs and tables. It goes into detail on techniques for decluttering and drawing focus, leveraging principles such as Gestalt and preattentive processing. The two chapters in this section are perhaps the most immediately relevant for data scientists and will provide you with some very quick wins, as I've seen from the responses of my training participants. The fourth section, expectations, covers techniques for setting expectations, kicking off a project, and maintaining the trust of your stakeholders. In particular, I cover ways to build consensus at the start of a project and ways to avoid the common mistake of working hard to build a solution that no one wants to use. The fifth section, results, presents principles, techniques and case studies related to selecting the most beneficial data science projects. It then describes concepts and frameworks that will help you run those projects to successful completion, despite the shifting expectations and lack of clarity that are so prevalent in data science projects. The sixth and final section, careers, addresses questions I'm often asked by data scientists, such as how to choose between job opportunities, how to strengthen your CV, and even whether to start working independently as a freelance data scientist.'.