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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.
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Understand how data science fits in your organization—and how you can use it for competitive advantage
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Treat data as a business asset that requires careful investment if you’re to gain real value
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Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way
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Learn general concepts for actually extracting knowledge from data
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Apply data science principles when interviewing data science job candidates
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 Industrial Control Systems: Advances and Applications, First Edition'It is a compilation of the best instrumentation and control techniques used in industry, providing interesting theoretical content as well as practical topics on planning, integration, and application.' --Plant Engineering, 2003
This is a comprehensive, practical, easy-to-read book on process control, covering some of... |  |  Process Improvement Essentials: CMMI, Six SIGMA, and ISO 9001Today, technology has become too much a part of overall corporate success for its effectiveness to be left to chance. The stakes are too high. Fortunately, the idea of 'quality management' is being reinvigorated. In the last decade process programs have become more and more prevalent. And, out of all the available options,... |  |  |
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