Statistics for data scientists : an introduction to probability, statistics, and data analysis (Record no. 30648)

000 -LEADER
fixed length control field a
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220309b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030105303
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.50285
Item number KAP
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Kaptein, Maurits
245 ## - TITLE STATEMENT
Title Statistics for data scientists : an introduction to probability, statistics, and data analysis
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Springer,
Date of publication, distribution, etc 2022
Place of publication, distribution, etc Cham :
300 ## - PHYSICAL DESCRIPTION
Extent xxiv, 321 p. ;
Other physical details ill.,
Dimensions 23 cm
365 ## - TRADE PRICE
Price amount 49.99
Price type code EUR
Unit of pricing 84.70
490 ## - SERIES STATEMENT
Series statement Undergraduate topics in computer science
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references.
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical analysis
Topical term or geographic name as entry element Quantitative Social Science
Topical term or geographic name as entry element Computer science and Mathematics
Topical term or geographic name as entry element Statistical methods
Topical term or geographic name as entry element Mathematical statistics
Topical term or geographic name as entry element Probabilities
Topical term or geographic name as entry element Distribution function
Topical term or geographic name as entry element Estimator
Topical term or geographic name as entry element Lognormal
Topical term or geographic name as entry element Null hypothesis
Topical term or geographic name as entry element Pearson's plot
Topical term or geographic name as entry element Random variables
Topical term or geographic name as entry element Sampling
Topical term or geographic name as entry element Simple random statistics
Topical term or geographic name as entry element Bootstrapping
Topical term or geographic name as entry element Bayesian
Topical term or geographic name as entry element Standard deviation
Topical term or geographic name as entry element Data visualisation
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Heuvel, Edwin van den
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Date last borrowed Koha item type
          DAIICT DAIICT 2022-03-08 3995.11 2 519.5 KAP 032871 2022-07-30 2022-06-07 Books
          DAIICT DAIICT 2022-08-30 3810.65 1 519.50285 KAP 033294 2023-09-22 2023-09-18 Books

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