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
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