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SAS Books - Upcoming Titles


Have questions about these titles? Contact us at: saspress@sas.com or subscribe to SAS® Learning Report to be notified when books are available.


Economic Modeling in the Post Great Recession Era Economic Modeling in the Post Great Recession Era: Incomplete Data, Imperfect Markets
By John Silvia, Azhar Iqbal and Sarah House
Anticipated publication date: Fourth quarter 2016

This book is for everyone frustrated with the inefficacy of forecasting in an environment dramatically different from how we're led to believe markets will behave. It demonstrates how to apply statistical tools and techniques to demystify the unfamiliar characteristics and trends at play every day in today's markets.


Fundamentals of Predictive Analytics with JMP, Second Edition Fundamentals of Predictive Analytics with JMP®, Second Edition
By Ron Klimberg and B.D. McCullough
Anticipated publication date: Fourth quarter 2016

This book bridges the gap between courses on basic statistics, which focus on univariate and bivariate analysis, and course on data mining/predictive analytics. It also provides the technical knowledge and problem-solving skills needed to perform real data multivariate analysis.


cover image Intelligent Credit Scoring: Building and Implementing Better Credit Risk Scorecards, 2nd Edition
By Naeem Siddiqi
Anticipated publication date: Fourth quarter 2016

In-house scorecard development is not only a rapidly growing trend, it's also faster, less expensive, and enables companies to create better-performing scorecards by applying firsthand knowledge of internal data and business insights. This book takes you beyond the technical part of building scorecards and shows you how to apply business intelligence to the process in order to solve business problems.


Market Data Analysis Using JMP Market Data Analysis Using JMP®
By Walter R. Paczkowski
Anticipated publication date: Fourth quarter 2016

This book is unique in that it has a specific application focus: market research. JMP is prime for the market research domain, so anyone who works with market data will benefit from reading and studying this book and then applying the analytical concepts to their market data using JMP.


ODS Graphics Designer by Example SAS® ODS Graphics Designer by Example: A Visual Guide to Creating Graphs Interactively
By Jeanette Bottitta and Sanjay Matange
Anticipated publication date: Fourth quarter 2016

This book provides numerous examples of how to use ODS Graphics Designer to make graphs that are commonly used for the analysis of data in the health care, life sciences, and finance domains. Among these examples, you can find a graph close to one you have in mind, and get a head start in building the graph you need.


Strategies in Biomedical Data Science Strategies in Biomedical Data Science: Driving Force for Innovation
By Jay A. Etchings
Anticipated publication date: Fourth quarter 2016

This book gives medical and IT professionals an authoritative place to turn to for up-to-date guidance and best practices on managing the ever-increasing amount of healthcare data created each day


Style and Statistics: The Art of Retail Analytics Business Survival Analysis Using SAS®: An Introduction to Lifetime Probabilities
By Jorge Ribeiro
Anticipated publication date: First quarter 2017

Written for graduates of economics, business, and marketing programs, as well as analysts who work in areas such as credit risk, this book shows professionals with little modeling experience how to apply survival analysis to the world of business.


An Introduction to SAS Visual Analytics An Introduction to SAS® Visual Analytics: How to Explore Numbers, Design Reports, and Gain Insight into Your Data
By Tricia Aanderud, Rob Collum, and Ryan Kumpfmiller
Anticipated publication date: First quarter 2017

Transform your complex data into knowledge with meaningful, customized visualizations. This book gives you the ability to access, prepare, and present your data from anywhere and will help anyone learn to make sense of complex data, leading you to smarter, data-driven decisions without writing a single line of code!


coming soon SAS® Viya™: The Python Perspective
By Kevin D. Smith and Xiangxiang Meng
Anticipated publication date: First quarter 2017

This book is an introduction to using Python to drive SAS Viya by directly connecting to the back-end analytics engine: CAS. CAS (Cloud Analytic Services) is a fault-tolerant, high-performance analytic platform that can be installed in many environments (desktop, computing grid, cloud). It is used by various SAS applications, but also has an API accessible from languages such as Java and Python.


Data Management and Analysis Using JMP: Health Care Case Studies Data Management and Analysis Using JMP: Health Care Case Studies
By Jane Oppenlander and Patricia Schaffer
Anticipated publication date: Second quarter 2017

This book is designed for beginner and intermediate JMP users, who are working or studying in the health care field and takes a holistic, step-by-step approach to analyzing real-world health care data.


Data Management with JMP Data Management with JMP ®
By Robert Carver
Anticipated publication date: Second quarter 2017

An introduction on how to use JMP to manage data for analysis. The book is organized within a framework of statistical investigations and model-building (where data acquisition and prep commonly eat up something like 75% of the effort and time) and in doing so illustrates the new data handling features in JMP, such as Query Builder.


Exchanging Data From SAS to Excel: Exchanging Data From SAS® to Excel: The ODS Excel Destination
By William E. Benjamin, Jr.
Anticipated publication date: Second quarter 2017

Export customized Excel spreadsheets from SAS, complete with graphics, images, and text! While Exchanging Data between SAS and Microsoft Excel: Tips and Techniques to Transfer and Manage Data More Efficiently is a thorough guide to moving data between SAS and Excel, this new companion book delves into the options available with the new ODS Excel destination feature, with numerous examples including syntax and graphic output.