TY  - BOOK
AU  - Miller,Thomas W.
TI  - Modeling techniques in predictive analytics with python and R: a guide to data science 
SN  - 9780133892062 (hardcover : alk. paper)
U1  - 000SA.16 23
PY  - 2015///
CY  - New Jersey :   
PB  - Pearson,   
KW  - Decision making
KW  - Statistical methods.
KW  - Python (Computer program language)
KW  - R (Computer program language).
N1  - Includes bibliographical references and index; 1 Analytics and Data Science 
2 Advertising and Promotion 
3 Preference and Choice 
4 Market Basket Analysis 
5 Economic Data Analysis 
6 Operations Management 
7 Text Analytics 
8 Sentiment Analysis 
9 Sports Analytics 
10 Spatial Data Analysis 
11 Brand and Price 
12 The Big Little Data Game 

A Data Science Methods 
A.1 Databases and Data Preparation 
A.2 Classical and Bayesian Statistics 
A.3 Regression and Classification 
A.4 Machine Learning 
A.5 Web and Social Network Analysis 
A.6 Recommender Systems 
A.7 Product Positioning 
A.8 Market Segmentation 
A.9 Site Selection 
A.10 Financial Data Science 

B Measurement 
C Case Studies 
C.1 Return of the Bobbleheads 
C.2 DriveTime Sedans 
C.3 Two Month's Salary 
C.4 Wisconsin Dells 
C.5 Computer Choice Study 

D Code and Utilities 
Bibliography 
Index
N2  - This book could be for an introductory course in Analytics discussing what is Analytics and what are some example applications
ER  -