Statistics for Data Scientists - An Introduction to Probability, Statistics, and Data Analysis (Paperback, 1st ed. 2022)

This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students. It uniquely combines a hands-on approach to data analysis - supported by numerous real data examples and reusable [R] code - with a rigorous treatment of probability and statistical principles. Where contemporary undergraduate textbooks in probability theory or statistics often miss applications and an introductory treatment of modern methods (bootstrapping, Bayes, etc.), and where applied data analysis books often miss a rigorous theoretical treatment, this book provides an accessible but thorough introduction into data analysis, using statistical methods combining the two viewpoints. The book further focuses on methods for dealing with large data-sets and streaming-data and hence provides a single-course introduction of statistical methods for data science.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Undergraduate Topics in Computer Science
Release date:	April 2020
First published:	2022
Authors:	Maurits Kaptein • Edwin Van Den Heuvel
Dimensions:	235 x 155 x 23mm (L x W x T)
Format:	Paperback
Pages:	321
Edition:	1st ed. 2022
ISBN-13:	978-3-03-010530-3
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Promotions
LSN:	3-03-010530-X
Barcode:	9783030105303

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