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Foundations of Statistics for Data Scientists
ISBN/GTIN

Foundations of Statistics for Data Scientists

With R and Python
E-bookEPUBE-book
Ranking16667inMathematik
CHF149.65

Description

This book shows the elements of statistical science that are highly relevant for students who plan to become data scientists. However, most of the content focuses on the statistical methods and the theory behind them, rather than on data science.
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Details

Additional ISBN/GTIN9781000462937
Product TypeE-book
BindingE-book
FormatEPUB
Publishing date29/11/2021
Edition21001 A. 1. Auflage
Pages486 pages
LanguageEnglish
File size37134 Kbytes
Illustrations3 schwarz-weiße und 104 farbige Abbildungen, 3 schwarz-weiße und 104 farbige Fotos, 36 schwarz-weiße Tabellen
Article no.9975854
CatalogsVC
Data source no.4276186
Product groupMathematik
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Author

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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