Predictive analytics for dummies
By: by Anasse Bari, PhD, Mohamed Chaouchi, and Tommy Jung
Contributors: Chaouchi, Mohamed, author; Jung, Tommy, author
Series: --For dummies; --For dummies
Publisher: John Wiley & Sons, Inc.; For Dummies
Published: 2014
Place of publication: Hoboken, NJ
Language: eng
Number of pages: 344
ISBN-13: 9781118728963
Subjects: Management; Data processing; Mathematical models; Data mining
Description: Predict the future! This practical guide will help you use Big Data and technology to discover real-world insights, define projects, and help you create goals.
Notes: Includes index.

"Learn to: Analyze structured and unstructured data ; Use algorithms and data analysis techniques ; Build clustering, classificaion and statistical models ; Apply predictive analytics to your website and marketing efforts"--Cover.

"Business data marketing"--Back cover.
Table of contents: title: Introduction. -- pt. 1.; title: Getting started with predictive analytics. Entering the arena ;; title: Predictive analytics in the wild ;; title: Exploring your data types and associated techniques ;; title: Complexities of data -- -- pt. 2.; title: Incorporating algorithms in your models. Applying models ;; title: Identifying similarities in data ;; title: Predicting the future using data classification -- -- pt. 3.; title: Developing a roadmap. Convincing your management to adopt predictive analytics ;; title: Preparing data ;; title: Building a predictive model ;; title: Visualization of analytical results -- -- pt. 4.; title: Programming predictive analytics. Creating basic prediction examples ;; title: Creating basic examples of unsupervised predictions ;; title: Predictive modeling with R ;; title: Avoiding analysis traps ;; title: Targeting big data -- -- pt. 5. The; title: part of tens.; title: Ten reasons to implement predictive analytics ;; title: Ten steps to build a predictive analytic model.