Analytics : (Record no. 15716)

MARC details
000 -LEADER
fixed length control field 02149nam a2200229Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field NULRC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250520102813.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250520s9999 xx 000 0 und d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781530135608
040 ## - CATALOGING SOURCE
Transcribing agency NULRC
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number HF 5415.3 .C68 2016
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Covington, Daniel
Relator term author
245 #0 - TITLE STATEMENT
Title Analytics :
Remainder of title data science, data analysis and predictive analytics for business /
Statement of responsibility, etc. Daniel Covington
250 ## - EDITION STATEMENT
Edition statement 5TH EDITION.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. North Charleston, South Carolina :
Name of publisher, distributor, etc. CreateSpace Independent Publishing Platform,
Date of publication, distribution, etc. c2016
300 ## - PHYSICAL DESCRIPTION
Extent 287 pages ;
Dimensions 23 cm.
365 ## - TRADE PRICE
Price amount USD23.88
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 1. the importance of data in -- Chapter 2. big data -- Chapter 3. big data development -- Chapter 4. weighing the benefits and drawbacks of big data -- Chapter 5. benefits of big data to small businesses -- Chapter 6. key training for big data handling -- Chapter 7. process of data analysis -- Chapter 8. descriptive analysis -- Chapter 9. predictive analytics -- Chapter 10. predictive analysis -- Chapter 11. introducing r -- Chapter 12. why predictive analytics? -- Chapter 13. from descriptive to predictive analysis -- Chapter 14. critical success factors -- Chapter 15. what to expect -- Chapter 16. what is data science -- Chapter 17. further analysis of a data scientist's skills -- Chapter 18. big data impact to envisaged by 2020 -- Chapter 19. benefits of data science in the field of finance -- Chapter 20. how data science benefits retail -- Chapter 21. using big data in marketing -- Chapter 22. data science improving travel -- Chapter 23. big data and agriculture using big data to feed people -- Chapter 24 big data and law enforcement -- Chapter 25. use of big data in the public sector -- Chapter 26. big data and gaming -- Chapter 27. what about prescriptive analytics?.
520 ## - SUMMARY, ETC.
Summary, etc. What defines the success of a business? Is it the number of people employed by the firm? Is it the sales turnover of the business? Is it the strength of the customer base of the firm? Does employee satisfaction play a role in the success of business operation.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element BUSINESS INTELLIGENCE
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Library of Congress Classification     Gen. Ed - CEAS LRC - Annex National University - Manila General Circulation 05/08/2017 Purchased - Amazon 143.33   GC HF 5415.3 .C68 2016 NULIB000013475 05/20/2025 c.1 05/20/2025 Books