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Autor(en): 
  • MIGUEL
  • A Complete Guide to Data Science Essentials 
     

    (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:  November 2023  
    Genre:  Ratgeber 
    ISBN:  9789358684995 
    EAN-Code: 
    9789358684995 
    Verlag:  Independent Publisher 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 229 mm / B 152 mm / D 7 mm 
    Gewicht:  170 gr 
    Seiten:  108 
    Zus. Info:  Paperback 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Explore the vast field of data science with "A Complete Guide to Data Science Essentials," an easy-to-use guide that breaks down the complicated parts of this ever-changing field. This book, written by Miguel, a seasoned data science expert, takes you step-by-step through the most important ideas, methods, and tools that will shape the data-driven world in 2023. Learn about important things like machine learning, statistical analysis, and computer languages (like Python, R, etc.) to get the skills you need to work in the ever-changing field of data science. Learn the mathematical ideas that support data science to build a strong base for advanced analytics and fixing problems. Stay ahead of the curve by learning how to use popular computer languages to do cutting edge data manipulation, analysis, and visualization. The book puts a lot of stress on practical scripting and coding, making sure that readers learn how to turn raw data into insights that they can use. Master the art of cleaning and preparing data to make it more reliable and of higher quality. Learn the newest ways to collect and source data. With an emphasis on real-world uses, the guide talks about the problems that come up when you have to deal with missing values and outliers and gives you useful ways to make your data analysis stronger. "A Complete Guide to Data Science Essentials" is the book you need whether you're an experienced data professional or a beginner who can't wait to start your data science path. This is an important resource for staying current in the data-driven era. It includes the most popular keywords and methods that define the field of data science right now.

      



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