Data Science for Business
What You Need to Know About Data Mining and Data-analytic Thinking
O'Reilly Media · Print & ebook · September 17, 2013
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.
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- Who it’s for
- A practical guide to understanding how data science can inform business decisions and projects.
- Themes
- Data science for business decisions, Data-mining techniques, Business and data-science collaboration
- Genres
- Data Science, Machine Learning, Data Mining
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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. - 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
Thinking With Data
A practical guide to understanding how data science can inform business decisions and projects.
Come here for
- Clear principles for extracting useful knowledge from data
- Real-world business problems that make data-analytic thinking concrete
Expect
- A focus on communicating with data scientists and stakeholders
- Guidance for engaging intelligently with data science projects
Where it sits
| Data Science | 48% |
|---|---|
| Data Mining | 38% |
| Machine Learning | 29% |
Percentages are BookFrontier’s reading of the book.
Publisher categories
- Business & Economics
- Business Statistics
- Business Math
- Computers
Show all 6 publisher categories
- Data Mining
- Data Modeling
- Authors
- Foster Provost, Tom Fawcett
- Publisher
- O'Reilly Media
- Published
- September 17, 2013
- Format
- Print & ebook
- Theme
- Data science for business decisions · Data-mining techniques · Business and data-science collaboration
- Reading lane
- Business & Economics