"Predictive Analytics For Dummies "will help the reader understand the core of predictive analytics and get them started quickly as possible with readily available tools to collect and analyze data, and then make predictions. This book will not bog the reader down with advanced mathematical pre-requisites, but will cover just enough concepts to make meaningful decisions on which algorithms to use and how to create effective predictive models. The author will also address "soft" issues, including handling people, setting realistic goals, protecting budgets, making useful presentations, and more, to help the reader prepare for shepherding predictive analysis projects through their companies.

Coverage will include: The basics of predictive analyticsUsing structured and unstructured dataData mining to collect dataAlgorithms and techniques for analyzing dataBuilding clustering, association, and statistical modelsCreating your predictive analysis roadmapApplying your predictive analytics knowledge to the web, marketing, finance, health, and contentOvercoming predictive analysis challenges