Overview
- Provides an accessible introduction to applied statistics by combining hands-on exercises with mathematical theory
- Introduces statistical inference in a natural way, using finite samples and real data
- Contains modern statistical methods including Bayesian decision theory, equivalence testing and statistical modelling
Part of the book series: Undergraduate Topics in Computer Science (UTICS)
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About this book
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.Similar content being viewed by others
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Table of contents (9 chapters)
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Authors and Affiliations
About the authors
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.
Bibliographic Information
Book Title: Statistics for Data Scientists
Book Subtitle: An Introduction to Probability, Statistics, and Data Analysis
Authors: Maurits Kaptein, Edwin van den Heuvel
Series Title: Undergraduate Topics in Computer Science
DOI: https://doi.org/10.1007/978-3-030-10531-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2022
Softcover ISBN: 978-3-030-10530-3Published: 03 February 2022
eBook ISBN: 978-3-030-10531-0Published: 02 February 2022
Series ISSN: 1863-7310
Series E-ISSN: 2197-1781
Edition Number: 1
Number of Pages: XXIV, 321
Number of Illustrations: 34 b/w illustrations, 19 illustrations in colour
Topics: Probability and Statistics in Computer Science, Statistical Theory and Methods, Probability Theory and Stochastic Processes