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Applied Predictive Analytics
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Description
Description| Publisher | John Wiley & Sons Inc (US) |
| Author(s) | Dean Abbott |
| Subtitle | Principles and Techniques for the Professional Data Analyst |
| Edition | 1 |
| Published | 4th April 2014 |
| Related course codes |
Principles and Techniques for the Professional Data Analyst
Learn the art and science of predictive analytics ?
techniques that get results
Predictive analytics is what translates big data into
meaningful, usable business information. Written by a leading
expert in the field, this guide examines the science of the
underlying algorithms as well as the principles and best practices
that govern the art of predictive analytics. It clearly explains
the theory behind predictive analytics, teaches the methods,
principles, and techniques for conducting predictive analytics
projects, and offers tips and tricks that are essential for
successful predictive modeling. Hands-on examples and case studies
are included.
- The ability to successfully apply predictive analytics enables
businesses to effectively interpret big data; essential for
competition today - This guide teaches not only the principles of predictive
analytics, but also how to apply them to achieve real, pragmatic
solutions - Explains methods, principles, and techniques for conducting
predictive analytics projects from start to finish - Illustrates each technique with hands-on examples and includes
as series of in-depth case studies that apply predictive analytics
to common business scenarios - A companion website provides all the data sets used to generate
the examples as well as a free trial version of software
Applied Predictive Analytics arms data and business
analysts and business managers with the tools they need to
interpret and capitalize on big data.
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