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Autor(en): 
  • Dr Zacharias, Ph.D. Voulgaris
  • Data Scientist: The Definitive Guide to Becoming a Data Scientist 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  Mai 2014  
    Genre:  EDV / Informatik 
    ISBN:  9781935504696 
    EAN-Code: 
    9781935504696 
    Verlag:  Technics Publications LLC 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 230 mm / B 152 mm / D 17 mm 
    Gewicht:  454 gr 
    Seiten:  300 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Learn what a data scientist is and how to become one.
    As our society transforms into a data-driven one, the role of the Data Scientist is becoming more and more important. If you want to be on the leading edge of what is sure to become a major profession in the not-too-distant future, this book can show you how.
    Each chapter is filled with practical information that will help you reap the fruits of big data and become a successful Data Scientist:

    Learn what big data is and how it differs from traditional data through its main characteristics: volume, variety, velocity, and veracity.

    Explore the different types of Data Scientists and the skillset each one has.

    Dig into what the role of the Data Scientist requires in terms of the relevant mindset, technical skills, experience, and how the Data Scientist connects with other people.

    Be a Data Scientist for a day, examining the problems you may encounter and how you tackle them, what programs you use, and how you expand your knowledge and know-how.

    See how you can become a Data Scientist, based on where you are starting from: a programming, machine learning, or data-related background.

    Follow step-by-step through the process of landing a Data Scientist job: where you need to look, how you would present yourself to a potential employer, and what it takes to follow a freelancer path.

    Read the case studies of experienced, senior-level Data Scientists, in an attempt to get a better perspective of what this role is, in practice.





    At the end of the book, there is a glossary of the most important terms that have been introduced, as well as three appendices - a list of useful sites, some relevant articles on the web, and a list of offline resources for further reading.

      
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