Practical statistics for data scientists : (Record no. 57659)

MARC details
000 -LEADER
fixed length control field 02855cam a22004577i 4500
001 - CONTROL NUMBER
control field 57659
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260104150101.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210909t20202020caua e b 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2018420845
015 ## - NATIONAL BIBLIOGRAPHY NUMBER
National bibliography number GBC061788
Source bnb
016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER
Record control number 019800669
Source Uk
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781492072942
Qualifying information (paperback)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 149207294X
Qualifying information (paperback)
035 ## - SYSTEM CONTROL NUMBER
System control number 22227145
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1158315601
040 ## - CATALOGING SOURCE
Original cataloging agency UTV
Language of cataloging eng
Transcribing agency UTV
Description conventions rda
Modifying agency UTV
-- AHH
-- OCLCF
-- YDXIT
-- UKMGB
-- IBI
-- OCLCO
-- YDX
-- JAS
-- OCL
-- DLC
042 ## - AUTHENTICATION CODE
Authentication code lccopycat
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA276.4
Item number .B78 2020
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 001.4/22
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Bruce, Peter C.,
Dates associated with a name 1953-
Relator term author.
245 10 - TITLE STATEMENT
Title Practical statistics for data scientists :
Remainder of title 50+ essential concepts using R and Python /
Statement of responsibility, etc Peter Bruce, Andrew Bruce, and Peter Gedeck.
250 ## - EDITION STATEMENT
Edition statement Second edition.
300 ## - PHYSICAL DESCRIPTION
Extent xvi, 342 pages :
Other physical details illustrations ;
Dimensions 24 cm
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references (pages 327-328) and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Exploratory Data Analysis -- Data and Sampling Distributions -- Statistical Experiments and Significance Testing -- Regression and Prediction -- Classification -- Statistical Machine Learning -- Unsupervised Learning.
520 ## - SUMMARY, ETC.
Summary, etc Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this practical guide-now including examples in Python as well as R-explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data scientists use statistical methods but lack a deeper statistical perspective. If you're familiar with the R or Python programming languages, and have had some exposure to statistics but want to learn more, this quick reference bridges the gap in an accessible, readable format. With this updated edition, you'll dive into: Exploratory data analysis Data and sampling distributions Statistical experiments and significance testing Regression and prediction Classification Statistical machine learning Unsupervised learning.--
526 ## - STUDY PROGRAM INFORMATION NOTE
School name School of engineering, Technology &Sciences
Department Physical Science
Shelving Location Reference Stacks
541 ## - IMMEDIATE SOURCE OF ACQUISITION NOTE
Source of acquisition Trim Education
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical analysis
General subdivision Statistical methods.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Quantitative research
General subdivision Statistical methods.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element R (Computer program language)
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Python (Computer program language)
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics
General subdivision Data processing.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Python (Computer program language)
Source of heading or term fast
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element R (Computer program language)
Source of heading or term fast
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics
General subdivision Data processing.
Source of heading or term fast
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Bruce, Andrew,
Dates associated with a name 1958-
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Gedeck, Peter,
Relator term author.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Serial Enumeration / chronology Total Checkouts Full call number Barcode Date last seen Copy number Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification   Not For Loan Library, Independent University, Bangladesh (IUB) Library, Independent University, Bangladesh (IUB) Reference Stacks 23/12/2025 Purchase 8500.00 2020   001.422 B8863p 029489 04/01/2026 01 17000.00 23/12/2025 Books