Essentials of marketing analytics : (Record no. 11558)

MARC details
000 -LEADER
fixed length control field 02019nam a22002897i 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250807160818.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250807s2024 us a|||fr|||| 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781266931628
040 ## - CATALOGING SOURCE
Original cataloging agency EG-GaU‬‬
Transcribing agency EG-GaU‬‬
Modifying agency EG-GaU‬‬
Description conventions rda
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Edition number 23
Classification number 658.8
Item number j.h.e.
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Hair, Joseph F.,
Relator term author.
9 (RLIN) 61703
245 10 - TITLE STATEMENT
Title Essentials of marketing analytics :
Remainder of title 2024 Release ISE /
Statement of responsibility, etc. Joseph F. Hair, Dana E. Harrison, Haya Ajjan.
250 ## - EDITION STATEMENT
Edition statement First edition.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture New York :
Name of producer, publisher, distributor, manufacturer McGraw Hill Education,
Date of production, publication, distribution, manufacture, or copyright notice 2024.
300 ## - PHYSICAL DESCRIPTION
Extent 474 pages :
Other physical details illustrations? ;
Dimensions 25 cm.
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
Content type code txt
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
Media type code n
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type term volume
Carrier type code nc
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Part 1: Overview of marketing analytics and data management – 1. Introduction to marketing analytics; 2. Data management -- Part 2: Exploring and visualizing data patterns – 3. Exploratory data analysis using cognitive analytics; 4. Data visualization -- Part 3: Analytical methods for supervised learning – 5. Regression analysis; 6. Neural networks; 7. Automated machine learning -- Part 4: Analytical methods for unsupervised learning – 8. Cluster analysis; 9. Market basket analysis -- Part 5: Emerging analytical approaches – 10. Natural language processing; 11. Social network analysis; 12. Fundamentals of digital marketing analytics.<br/>
520 ## - SUMMARY, ETC.
Summary, etc. A timely, comprehensive introduction to marketing analytics for undergraduate and graduate business students. Combines theory with tools like Tableau and Python and explores topics such as neural networks, social network analysis, automated machine learning, and NLP. Supported by McGraw Hill Connect digital platform.turn0search6turn0search2turn0search7<br/>
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Marketing analytics.
9 (RLIN) 61704
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data visualization.
9 (RLIN) 60465
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Harrison, Dana E.,
Relator term author.
9 (RLIN) 61705
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ajjan, Haya,
Relator term author.
9 (RLIN) 61706
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 Total Checkouts Total Renewals Full call number Barcode Date last seen Date last checked out Copy number Price effective from Koha item type
    Dewey Decimal Classification     Media and mass communication Library Media and mass communication Library AK3 09/02/2025 1 1 658.8 H.J.E MA0003114 03/08/2026 03/03/2026 C.1 09/02/2025 Books