Data Science for Business

Foster Provost is an Associate Professor and NEC Faculty Fellow at New York University Stern School of Business, where he teaches in the MBA, Business Analytics, and Data Science programs. His award-winning study is widely read and cited. Prof. Provost has co-founded several successful data science for marketing enterprises.

Tom Fawcett has a Ph.D. in machine learning and has spent more than two decades working in industrial R&D for businesses such as GTE Laboratories, NYNEX/Verizon Labs, and HP Labs. His published work has become required reading in the field of data science.

Data Science for Business, written by renowned data science specialists Foster Provost and Tom Fawcett, covers the fundamental principles of data science and leads you through the "data-analytic thinking" required for extracting usable knowledge and business value from the data you collect. This guide will also help you comprehend the various data-mining strategies that are currently in use.

Among the best books on data mining, Data Science for Business is based on an MBA course Provost has taught at New York University for the past ten years, and it uses real-world business situations to illustrate these principles. Not only will you learn how to increase communication between business stakeholders and data scientists, but you'll also learn how to participate intelligently in your company's data science projects. You'll also learn how to think data-analytically and fully understand how data science methodologies may help businesses make decisions.

• Learn where data science fits in your organization and how you can use it to gain a competitive advantage.
• Consider data to be a company asset that requires deliberate investment in order to generate significant value.
• Approaching business issues data-analytically, utilizing the data-mining method to get useful data in the most appropriate manner
• Learn general principles for obtaining knowledge from data.
• When interviewing data science job prospects, use data science principles.

Author: Tom Fawcett and Foster Provost

Link to buy: https://www.amazon.com/Data-Science-Business-Data-Analytic-Thinking/dp/1449361323/

Ratings: 4.5 out of 5 stars (from 932 reviews)

Best Sellers Rank: #38,479 in Books

#9 in Business Mathematics

#13 in Data Modeling & Design (Books)

#18 in Data Mining (Books)