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Autor(en): 
  • Joseph Gonzalez
  • Sam Lau
  • Nolan Deborah
  • Learning Data Science: Data Wrangling, Exploration, Visualization, and Modeling with Python 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  September 2023  
    Genre:  EDV / Informatik 
     
    COMPUTERS / Data Science / Machine Learning / Data capture and analysis / machine learning / MATHEMATICS / Numerical Analysis / MATHEMATICS / Probability & Statistics / General / Numerical analysis / Probability and statistics
    ISBN:  9781098113001 
    EAN-Code: 
    9781098113001 
    Verlag:  O'Reilly 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 233 mm / B 178 mm / D 31 mm 
    Gewicht:  1030 gr 
    Seiten:  600 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    "As an aspiring data scientist, you appreciate why organizations rely on data for important decisions--whether it's for companies designing websites, cities deciding how to improve services, or scientists discovering how to stop the spread of disease. And you want the skills required to distill a messy pile of data into actionable insights. We call this the data science lifecycle: the process of collecting, wrangling, analyzing, and drawing conclusions from data. [This] is the first book to cover foundational skills in both programming and statistics that encompass this entire lifecycle. It's aimed at those who wish to become data scientists or who already work with data scientists, and at data analysts who wish to cross the 'technical/nontechnical' divide. If you have a basic knowledge of Python programming, you'll learn how to work with data using industry-standard tools like pandas"--

      
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