Predictive analytics for dummies
By: by Anasse Bari, Ph.D., Mohamed Chaouchi, and Tommy Jung
Contributors: Chaouchi, Mohamed, author; Jung, Tommy, author
Edition: 2nd edition.
Series: --For dummies; --For dummies
Published: 2017
Language: eng
Number of pages: 443
ISBN-13: 9781119267003
Subjects: Mathematical models; Management; Data processing; Data mining
Description: Business today relies on effectively using data to predict trends and sales. Predictive analytics is the tool that can make it happen, and this book eliminates the tricks and shows you how to use it. You'll learn to prepare and process your data, create goals, build a predictive model, get your organization's stakeholders on board and more.
Notes: Includes index.
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 ; -- -- pt. 5.; title: Targeting big data; title: Getting ready for enterprise analytics -- pt. 6; title: The part of tens.; title: Ten reasons to implement predictive analytics ;; title: Ten steps to build a predictive analytic model.