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

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 							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 						

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