# Data Science for Business. What you need to know about data mining and data-analytic thinking

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- Książka: [Data Science for Business. What you need to know about data mining and data-analytic thinking](https://www.kolczanksiazek.pl/foster-provost/data-science-for-business-what-you-need-to-know-about-data-mining-and-data-analytic-thinking) ([Data Science for Business. What you need to know about data mining and data-analytic thinking.md](https://www.kolczanksiazek.pl/foster-provost/data-science-for-business-what-you-need-to-know-about-data-mining-and-data-analytic-thinking.md))
- Autorzy: [Foster Provost](https://www.kolczanksiazek.pl/foster-provost)
- Wydawnictwo: O'Reilly Media
- ISBN: 978-14-4937-428-0
- Data wydania: 2013-07-27
- Język: pl_PL
- Oprawa: Softcover

## Opis

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 advantageTreat data as a business asset that requires careful investment if you... re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates