Data Science for Business

Read or download online Data Science for Business ebook full in format Pdf, ePub, Kindle, and many more. Data Science for Business written by Foster Provost,Tom Fawcett, published by "O'Reilly Media, Inc." on 2013-07-27 with 576 pages for you to read. Data Science for Business is one from many Computers books that available for free in the amazon kindle unlimited, click Get Book to start reading and download books online free now. With Kindle Unlimited Free trial, you can read as many books as you want today.

Data Science for Business

Data Science for Business

  • Author : Foster Provost,Tom Fawcett
  • ISBN : 144937428X
  • Category : Computers
  • Publisher : "O'Reilly Media, Inc."
  • Pages : 414
  • Release Date : 2013-07-27

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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