Winning with data science : (Record no. 607766)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02722cam a2200385 i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 23228178 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | US-DLC |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251102105619.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 230714s2024 nyu b 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER | |
| LC control number | 2023024328 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780231206860 |
| Qualifying information | (hardback) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Cancelled/invalid ISBN | 9780231556699 |
| Qualifying information | (ebook) |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | 23228178 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | au |
| Language of cataloging | eng |
| Description conventions | rda |
| Transcribing agency | DLC |
| Modifying agency | au |
| 042 ## - AUTHENTICATION CODE | |
| Authentication code | pcc |
| 049 ## - LOCAL HOLDINGS (OCLC) | |
| Holding library | Alfaisal Main Library |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | HD30.215 |
| Item number | .F74 2024 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Freidman, Howard Steven, |
| Relator term | author. |
| 245 10 - TITLE STATEMENT | |
| Title | Winning with data science : |
| Remainder of title | a handbook for business leaders / |
| Statement of responsibility, etc | Howard Steven Freidman and Akshay Swaminathan. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Date of publication, distribution, etc | 2024 |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE STATEMENTS | |
| Place of production, publication, distribution, manufacture | New York : |
| Name of producer, publisher, distributor, manufacturer | Columbia Business School Publishing, |
| Date of production, publication, distribution, manufacture | [2024] |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | x, 259 pages ; |
| Dimensions | 23 cm |
| 336 ## - CONTENT TYPE | |
| Content Type Term | text |
| Content Type Code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media Type Term | unmediated |
| Media Type Code | n |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier Type Term | volume |
| Carrier Type Code | nc |
| Source | rdacarrier |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc | Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Tools of the Trade -- The Data Science Project -- Data Science Foundations -- Making Decisions with Data -- Clustering, Segmenting, and Cutting Through the Noise -- Building Your First Model -- Tools for Machine Learning -- Pulling It Together -- Ethics. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | "Data science is increasingly important in the business world, not just for the teams in charge of implementing it but the professionals adjacent to them. Yet not all businesspeople have a general understanding of the basics-and if senior management assigns them to work alongside a data science team, they'll need that knowledge as soon as possible without having to take online courses or dive down the Internet rabbit hole. This book provides that knowledge base, walking readers through the key ideas needed to communicate and work with a data science team. They will be able to understand the basic technical lingo, recognize the types of talent on the team and pose good questions to your data scientists to open up more insights, create opportunities, and generate value. By the end of the book they will be able to answer key questions including how data is collected and stored, what hardware and software tools are needed to analyze data, who does what on the data science team and which models should be considered for specific projects. Most critically, they will also be armed with critical questions that you can use to further probe data analysts, statisticians, data scientists and other technical experts to better understand the value of their work for a business"-- |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Management |
| General subdivision | Statistical methods. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Databases. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Data mining. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Electronic data processing. |
| 655 #0 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Print books. |
| Source of term | local |
| 9 (RLIN) | 4 |
| 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 | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Cost, replacement price | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Library of Congress Classification | Alfaisal University | Alfaisal University | On Shelf | 2025-11-02 | HD30.215 .F74 2024 | AU00000000020649 | 2025-11-02 | 200.00 | 2025-11-02 | BOOKS |