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Alan Agresti

Foundations of Statistics for Data Scientists

With R and Python

Ebook (PDF Format)

Foundations of Statistics for Data Scientists: With R and Python is designed as a textbook for a one- or two-term introduction to mathematical statistics for students training to become data scientists. It is an in-depth presentation of the topics in statistical science with which any data scientist should be familiar, including probability distributions, descriptive and inferential statistical methods, and linear modeling. The book assumes knowledge of basic calculus, so the presentation can focus on why it works as well as how to do it. Compared to traditional mathematical statistics textbooks, however, the book has less emphasis on probabi… Mehr

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Produktdetails


Weitere Autoren: Kateri, Maria
  • ISBN: 978-1-00-046291-3
  • EAN: 9781000462913
  • Produktnummer: 36496359
  • Verlag: Taylor & Francis Ltd.
  • Sprache: Englisch
  • Erscheinungsjahr: 2021
  • Seitenangabe: 486 S.
  • Plattform: PDF
  • Auflage: 1. Auflage
  • Abbildungen: 3 schwarz-weiße und 104 farbige Abbildungen, 3 schwarz-weiße und 104 farbige Fotos, 36 schwarz-weiße Tabellen

Über den Autor


Alan Agresti, Distinguished Professor Emeritus at the University of Florida, is the author of seven books, including Categorical Data Analysis (Wiley) and Statistics: The Art and Science of Learning from Data (Pearson), and has presented short courses in 35 countries. His awards include an honorary doctorate from De Montfort University (UK) and Statistician of the Year from the American Statistical Association (Chicago chapter).Maria Kateri, Professor of Statistics and Data Science at the RWTH Aachen University, authored the monograph Contingency Table Analysis: Methods and Implementation Using R (Birkhäuser/Springer) and a textbook on mathematics for economists (in German). She has long-term experience in teaching statistics courses to students of Data Science, Mathematics, Statistics, Computer Science, Business Administration, and Engineering.

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