Analytics : (Record no. 15716)
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000 -LEADER | |
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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 |
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 |
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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 |