Data science for business and decision making (Record no. 30048)

000 -LEADER
fixed length control field a
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200612b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780128112168
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 650.01​51
Item number FAV
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Fávero, Luiz Paulo
245 ## - TITLE STATEMENT
Title Data science for business and decision making
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Academic Press
Date of publication, distribution, etc 2019
Place of publication, distribution, etc United States
300 ## - PHYSICAL DESCRIPTION
Extent xvi, 1227 p.
Other physical details ill.
Dimensions 28 cm.
365 ## - TRADE PRICE
Price amount 200
Price type code USD
Unit of pricing 77.50
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index
520 ## - SUMMARY, ETC.
Summary, etc Data Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the importance of regression, optimization and simulation for practitioners of business analytics. Each chapter uses a didactic format that is followed by exercises and answers. Freely-accessible datasets enable students and professionals to work with Excel, Stata Statistical Software®, and IBM SPSS Statistics Software®. Combines statistics and operations research modeling to teach the principles of business analytics Written for students who want to apply statistics, optimization and multivariate modeling to gain competitive advantages in business Shows how powerful software packages, such as SPSS and Stata, can create graphical and numerical outputs.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Commercial statistics
Topical term or geographic name as entry element Data analysis
Topical term or geographic name as entry element Descriptive statistics
Topical term or geographic name as entry element Probabilistic statistics
Topical term or geographic name as entry element Regression models
Topical term or geographic name as entry element Exploratory data analysis
Topical term or geographic name as entry element Network Analysis
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Belfiore, Patrícia
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 Full call number Barcode Date last seen Koha item type
          DAIICT DAIICT 2020-06-05 650.01​51 FAV 032360 2020-06-12 Books

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