Predictive analytics for dummies
By: Bari, Anasse
Title By: Chaouchi, Mohamed | Jung, Tommy
Material type:
BookSeries: --For dummies.Publisher: Hoboken, New York : John Wiley and Sons, c2017.Edition: 2nd ed.Description: viii, 443 p. : ill. ; 24 cm.ISBN: 9781119267003; 1119267005Subject(s): Management -- Data processing | Management -- Mathematical models | Data mining | Management -- Data processingDDC classification: 658.403802856312 BA PR | Item type | Home library | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
| REGULAR | University of Wollongong in Dubai Main Collection | 658.403802856312 BA PR (Browse shelf) | Available | T0057959 |
Includes index.
Introduction. -- pt. 1. Getting started with predictive analytics. Entering the arena; Predictive analytics in the wild; Exploring your data types and associated techniques; Complexities of data -- pt. 2. Incorporating algorithms in your models. Applying models; Identifying similarities in data; Predicting the future using data classification --
pt. 3. Developing a roadmap. Convincing your management to adopt predictive analytics ; Preparing data ; Building a predictive model ; Visualization of analytical results --
pt. 4. Programming predictive analytics. Creating basic prediction examples ; Creating basic examples of unsupervised predictions ; Predictive modeling with R ; Avoiding analysis traps ; -- pt. 5. Targeting big data Getting ready for enterprise analytics pt. 6 The part of tens. Ten reasons to implement predictive analytics ; Ten steps to build a predictive analytic model.
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.