Applied Predictive Analytics – Principles and Techniques for the Professional Data Analyst : Principles and Techniques for the Professional Data Analyst

Written by one of the leading experts on predictive analytics, Applied Predictive Analytics shows tech-savvy business managers and data analysts how to use the sophisticated techniques of predictive analytics that mine Big Data to solve practical business problems.

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 todayThis guide teaches not only the principles of predictive analytics, but also how to apply them to achieve real, pragmatic solutionsExplains methods, principles, and techniques for conducting predictive analytics projects from start to finishIllustrates each technique with hands-on examples and includes as series of in-depth case studies that apply predictive analytics to common business scenariosA 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.