Data Science for Business: What You Need to Know about Data Mining and Data Analytic Thinking (Record no. 45368)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01383 a2200181 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9789351102670 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.312 PRO |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Provost, Foster |
| 245 ## - TITLE STATEMENT | |
| Title | Data Science for Business: What You Need to Know about Data Mining and Data Analytic Thinking |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher, distributor, etc | Shroff Publishers & Distributors |
| Place of publication, distribution, etc | Mumbai |
| Date of publication, distribution, etc | 2013 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 383 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.<br/><br/>Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You'll not only learn how to improve communication between business stakeholders and data scientists but also how participate intelligently in your company's data science projects. You'll also discover how to think data-analytically and fully appreciate how data science methods can support business decision-making. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Data Science |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Business |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Data-Mining |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Fawcett, Tom |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Book |
| Source of classification or shelving scheme | Dewey Decimal Classification |
No items available.
