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

This book is a great introduction to data science. It works with people who don't have all the math background. But it will also cover some of the math topics (with a note that they are about to go into a math based section, and you can skip it if you aren't ready). This is a must have for managers, people in business, and people just interested in learning more about Data Science. If you are planning to know enough for your business to be better, this is your book. If you are planning on delving into the depths, you will need to also pursue things like linear algebra and other advanced math topics, but this book will help you with each step you can follow on with. Good luck on your journey!

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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.

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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.

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

• Author: Foster Provost ( Download PDF : )


• Language: English


• ISBN-10: 1449361323


• ISBN-13: 978-1449361327


• Product Dimensions: 7 x 0.9 x 9.2 inches


• Paperback: 414 pages


• Publisher: O'Reilly Media; 1 edition (August 19, 2013)

About the Author

Foster Provost is Professor and NEC Faculty Fellow at the NYU Stern School of Business where he teaches in the MBA, Business Analytics, and Data Science programs. His award-winning research is read and cited broadly. Prof. Provost has co-founded several successful companies focusing on data science for marketing.

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