Data Science for Business

Foster Provost, Tom Fawcett

dc.contributor.author	Foster Provost, Tom Fawcett
dc.date.accessioned	2023-08-24T12:51:00Z
dc.date.available	2023-08-24T12:51:00Z
dc.date.issued	2013-09-17
dc.identifier.issn	978-1449361327
dc.identifier.uri	http://elib.ipa.government.bg:8080/xmlui/handle/123456789/1280
dc.description	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. 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. Understand how data science fits in your organization—and how you can use it for competitive advantage Treat data as a business asset that requires careful investment if you’re to gain real value Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data Apply data science principles when interviewing data science job candidates.	bg_BG
dc.language.iso	en	bg_BG
dc.publisher	O'Reilly Media	bg_BG
dc.relation.ispartofseries	Сигн: 709
dc.title	Data Science for Business	bg_BG
dc.title.alternative	What You Need to Know about Data Mining and Data-Analytic Thinking	bg_BG
dc.type	Book	bg_BG