Statistics for Data Scientists: An Introduction to Probability, Statistics, and Data Analysis - Brossura

Kaptein, Maurits; Van Den Heuvel, Edwin

Brossura

ISBN 10: 303010530X ISBN 13: 9783030105303

Casa editrice: Springer, 2022

Riassunto

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.

Su questo libro

Informazioni sull?autore

<div>Prof. Dr.&nbsp;<b>Maurits Kaptein</b>&nbsp;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.<br></div><div><br></div>Prof. Dr. <b>Edwin van den Heuvel</b>&nbsp;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.&nbsp;

Dalla quarta di copertina

This book provides&nbsp;an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students.&nbsp;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.&nbsp;<p>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&nbsp;on methods for dealing with large data-sets and streaming-data and hence provides a single-course introduction of statistical methods for data science.</p>

Dettagli dell'edizione

• Editore: Springer
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 303010530X
• ISBN 13: 9783030105303
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 348
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Germania