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 |