Perpustakaan LKPP

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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 will not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your companys data science projects. You will 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 are 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
#
Perpustakaan LKPP 004 PRO d
01002-14
Available
Detail Information
Series Title
-
Call Number
004 PRO d
Publisher
Sebastopol,CA : O'Reilly Media., 2013
Collation
xxi, 386 hlm.; 23,5 cm.
Language
English
ISBN/ISSN
978-1-449-36132-7
Classification
004
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Databases
Data Analytics
Data Mining
Specific Detail Info
-
Statement of Responsibility
-
Other version/related

No other version available

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