Gain insight on SAS solutions and analytics technology with our collection of free e-books.
SAS® Programming for R Users
SAS® Programming for R Users, based on the free SAS Education course of the same name, is designed for experienced R users who want to transfer their programming skills to SAS. Emphasis is on programming and not statistical theory or interpretation. You will learn how to write programs in SAS that replicate familiar functions and capabilities in R. This book covers a wide range of topics including the basics of the SAS programming language, how to import data, how to create new variables, random number generation, linear modeling, Interactive Matrix Language (IML), and many other SAS procedures. This book also explains how to write R code directly in the SAS code editor for seamless integration between the two tools. Exercises are provided at the end of each chapter so that you can test your knowledge and practice your programming skills.
Visual Analytics with SAS® Viya®: Special Collection
Foreword by Rob Collum
SAS® Visual Analytics is a business intelligence and analytics platform that provides visual exploration and discovery, self-service analytics, and interactive reporting for organizations of all sizes.
Several useful papers have been written to demonstrate how to use these techniques. We have carefully selected a handful of these from recent Global Forum contributions to introduce you to the topic and let you sample what each has to offer.
Exploring Modern Regression Methods Using SAS®: Special Collection
Foreword by Phil Gibbs
This special collection of SAS Global Forum papers demonstrates new and enhanced capabilities and applications of lesser-known SAS/STAT and SAS Viya procedures for regression models.
The goal here is to raise awareness of current valuable SAS/STAT content of which the user may not be aware.
Text Analytics with SAS®: Special Collection
SAS provides many different solutions to investigate and analyze text and operationalize decisioning. Several impressive papers have been written to demonstrate how to use these techniques.
We have carefully selected a handful of these from recent Global Forum contributions to introduce you to the topic and let you sample what each has to offer.
Data Management with SAS®: Special Collection
Foreword by Ron Agresta
Data may be the most valuable resource that your organization owns. None of the promise of AI is possible without the ability to access, integrate, and transform data. SAS is intent on fundamentally changing the way our customers perform data management because changes in consumer expectations, and technology that drive them, continue to evolve at an incredible rate.
SAS offers many different data management solutions to handle and protect your data. The papers included in this special collection demonstrates the latest tools and techniques that can benefit your data analysis.
Artificial Intelligence with SAS®: Special Collection
Foreword by Saurabh Gupta
Today, powerful AI is augmenting analytics in every area, and helping to maximize the value of the analytic tools and solutions that SAS Press has been championing for the last 42 years.
We have carefully selected a handful of groundbreaking papers from recent SAS Global Forum papers which illustrate how SAS is adding capabilities to our tools and solutions that help customers build their own AI solutions; and examples of AI solutions using our tools.
Exploring SAS® Enterprise Miner: Special Collection
Foreword by Jared Dean
SAS Enterprise Miner was first released in 1999. The interface has changed, and the capabilities have increased, but what remains the same is the potential Enterprise Miner gives its users to answer some of their most difficult predictive modeling challenges.
The papers included in this special collection have been selected to broaden your knowledge of Enterprise Miner; its utility and productivity.
Machine Learning with SAS®: Special Collection
Machine learning is a powerful tool with many applications, from real-time fraud detection, recommender systems, and smart cars. It will not be long before some form of machine learning is integrated into all machines.
SAS offers many different solutions to use machine learning to model and predict your data. The papers included in this special collection demonstrate how cutting-edge machine learning techniques can benefit your data analysis.
Visualizing Data with SAS® : Selected Topics
Foreword by Robert Allison
Creative data exploration and creative problem solving begin with visualizing your data. Data visualization is critical in helping consumers grasp difficult concepts or identify new patterns that emerge from their data. Our data keeps getting bigger, and we need quicker, easier ways to convey it!
Topics covered in this free e-book illustrate the power of SAS solutions that are available as tools for data visualization, highlighting a variety of domains, including infographics, geomapping, and clinical graphs for the health and life sciences.
Discovering SAS® Viya®: Special Collection
Foreword by Randy Guard
To illustrate the power and flexibility of SAS Viya, several groundbreaking papers have been carefully selected from recent SAS Global Forum presentations to introduce you to the topics and to let you sample what each has to offer.
Fraud Analytics with SAS®: Special Collection
Foreword by Bart Baesens
SAS software provides many different techniques to monitor in real time and investigate your data, and several groundbreaking papers have been written to demonstrate how to use these techniques. Topics covered illustrate the power of SAS solutions that are available as tools for fraud analytics, highlighting a variety of domains, including money laundering, financial crime, and terrorism.
Discovering Data Science with SAS®: Selected Topics
Foreword by Wayne Thompson
Wayne Thompson, Manager of Data Science Technologies at SAS, defines data science as a broad field that entails applying domain knowledge and machine learning to extract insights from complex and often dark data. To further help define data science, we have carefully selected a collection of chapters from SAS Press books that introduce and provide context to the various areas of data science, including their use and limitations.
Topics covered illustrate the power of SAS solutions that are available as tools for data science, highlighting a variety of domains including data analysis planning, data wrangling and visualization, time series, neural networks, text analytics, decision trees and more.