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Image of DATA SCIENCE FOR BUSINESS: WHAT YOU NEED TO KNOW ABOUT DATA MINING AND DATA-ANALYTIC THINKING

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DATA SCIENCE FOR BUSINESS: WHAT YOU NEED TO KNOW ABOUT DATA MINING AND DATA-ANALYTIC THINKING

PROVOST, FOSTER - Personal Name; FAWCETT, TOM - Personal Name;

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


Availability
10000097006.312 PRO dRLC MM (Rak Buku Wajib)Available
10010844006.312 PRO d (1)RLC MM (Rak Buku Wajib)Available
Detail Information
Series Title
-
Statement of Responsibility
Foster Provost
Call Number
006.312 PRO d
Publisher
California : O Reilly Media., 2013
Collation
xxi, 386 p. : ill. ; 23 cm.
Language
English
ISBN/ISSN
978-1-449-36132-7
Classification
006.312
Content Type
-
Edition
-
Subject(s)
Buku Wajib
Data Mining
Statistics
Business Mathematics
Specific Detail Info
-
Other version/related

No other version available

File Attachment
No Data
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RLC MM FEB-UI
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RLC MM-FEBUI (Library) occupies the right side of the ground floor of the MM FEB UI Building with a reading room capacity of more than 60 people.
 
The MM-FEB UI library service system is closed (closed access); where the user does not have direct access to the collection shelf. Or in other words, users are not allowed to take their own books from the collection shelf

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