Business analytics : descriptive, predictive, prescriptive / Jeffrey D. Camm et.al
By: Camm, Jeffrey D [author.]
Contributor(s): Fry, Michael J [author.] | Cochran, James J [author.] | Jeffrey, Ohlmann W [author.]
Publisher: Boston; Cengage: 2021Edition: 4th edDescription: xxiv, 850 p. col, illISBN: 9780357131787Subject(s): Business analytics | Data miningDDC classification: 658.4033| Item type | Current location | Home library | Collection | Call number | Vol info | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|---|---|
| Book | COLLEGE LIBRARY | COLLEGE LIBRARY RESERVE | NON-FICTION | 658.4033 B979 2021 (Browse shelf) | 12349 | Available | 12349 |
Total holds: 0
Browsing COLLEGE LIBRARY Shelves , Shelving location: RESERVE , Collection code: NON-FICTION Close shelf browser
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| 658.403 I619 2019 c.2 An Introduction to management science: quantitative approaches to decision making | 658.403 T531 2022 Information technology systems administration / | 658.403 T531 2022 Information technology systems administration / | 658.4033 B979 2021 Business analytics : descriptive, predictive, prescriptive / | 658.4033 L255 2019 c.1 A step-by-step introduction to statistics for business / | 658.4033 L255 2019 c.2 A step-by-step introduction to statistics for business / | 658.40355 N693 2019 Forecasting with the theta method : theory and applications / |
Includes bibliographical index (pp. 839-850).
600-699 Technology and Applied Science
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