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Foster Provost & Tom Fawcett – Data Science for Business
Apr
Foster Provost & Tom Fawcett – Data Science for Business
Product Details
Paperback: 414 pages
Publisher: O’Reilly Media; 1 edition (August 16, 2013)
Language: English
ISBN-10: 1449361323
ISBN-13: 978-1449361327
Product Dimensions: 9.1 x 7 x 0.9 inches
Shipping Weight: 1.5 pounds (View shipping rates and policies)
Average Customer Review: 4.8 out of 5 stars See all reviews (42 customer reviews)
Amazon Best Sellers Rank: #2,683 in Books (See Top 100 in Books)
#2 in Books > Computers & Technology > Databases > Database Design
#2 in Books > Business & Investing > Skills > Business Mathematics
#4 in Books > Computers & Technology > Computer Science > Information Theory
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
Product Details
Paperback: 408 pages
Publisher: O’Reilly Media; 1 edition (August 16, 2013)
Language: English
ISBN-10: 1449361323
ISBN-13: 978-1449361327
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