Paperback
This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students.

Statistics for Data Scientists

An Introduction to Probability, Statistics, and Data Analysis

$147.94

  • Paperback

    321 pages

  • Release Date

    3 February 2022

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Summary

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 …

Book Details

ISBN-13:9783030105303
ISBN-10:303010530X
Author:Maurits Kaptein, Edwin van den Heuvel
Publisher:Springer Nature Switzerland AG
Imprint:Springer Nature Switzerland AG
Format:Paperback
Number of Pages:321
Edition:1st
Release Date:3 February 2022
Weight:534g
Dimensions:155mm x 235mm
Series:Undergraduate Topics in Computer Science
A-Format
B-Format
C-Format
Statistics for Data Scientists by Maurits Kaptein - ISBN: 9783030105303
155 × 235 mm
A4
mm / in
What They're Saying

Critics Review

“Having taught data analytics at the introductory graduate level, I welcome the authors’ textbook as an essential resource for training well-grounded entry-level data scientists. … A data scientist shall provide competent data science professional services to a client. … Training in both the theory and practice of data analytics is a requirement for such competence. The authors’ textbook definitely provides a valuable resource for such training.” (Harry J. Foxwell, Computing Reviews, July 7, 2022)

About The Author

Maurits Kaptein

Prof. Dr. Maurits Kaptein works on statistical methods for sequential experimentation. He has extensive experience in research and education in the fields of statistics, machine learning, and research methodology. Maurits works for the Jheronimus Academy of Data Science and for the University of Tilburg. His work has been published in influential journals such as Bayesian Analysis and the Journal of Interactive Marketing.

Prof. Dr. Edwin van den Heuvel works on statistical methods for analyzing cross-sectional and longitudinal data from experimental and observational studies in the domain of health and life sciences. He has been teaching many different topics on statistics to (PhD, master, and bachelor) students from different backgrounds (medicine, engineering, mathematics, etc.) He is full-time professor in statistics at Eindhoven University of Technology and has affiliations at other universities. He publishes mostly in peer-reviewed influential statistical, epidemiological, and medical journals.

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