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Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking by [Provost, Foster, Fawcett, Tom]

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Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking 1st Edition, Kindle Edition

4.0 out of 5 stars 16 customer reviews

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Length: 408 pages Word Wise: Enabled Enhanced Typesetting: Enabled
Page Flip: Enabled Language: English

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Product description

Book Description

What you need to know about data mining and data-analytic thinking

Product Description

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

From the Publisher

Data Science for Business Data Science from Scratch Doing Data Science R for Data Science Data Science at the Command Line Python Data Science Handbook
What You Need to Know about Data Mining and Data-Analytic Thinking First Principles with Python Straight Talk from the Frontline Visualize, Model, Transform, Tidy, and Import Data Facing the Future with Time-Tested Tools Tools and Techniques for Developers
Pages 414 330 330 250 212 500

Product details

  • Format: Kindle Edition
  • File Size: 19607 KB
  • Print Length: 414 pages
  • Simultaneous Device Usage: Unlimited
  • Publisher: O'Reilly Media; 1 edition (27 July 2013)
  • Sold by: Amazon Asia-Pacific Holdings Private Limited
  • Language: English
  • ASIN: B00E6EQ3X4
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Enabled
  • Enhanced Typesetting: Enabled
  • Average Customer Review: 4.0 out of 5 stars 16 customer reviews
  • Amazon Bestsellers Rank: #14,948 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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22 July 2016
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