SAS® for R Users (Free e-Book)
By Jordan Bakerman
Anticipated publication date: Fourth quarter 2019
This book 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. You will also learn how to call R from SAS using IML.
Exercises and Projects for The Little SAS® Book: A Primer, Sixth Edition
The best-selling workbook companion to The Little SAS Book, Exercises and Projects for The Little SAS® Book, Sixth Edition will be updated to match the updates to the new The Little SAS® Book: A Primer, Sixth Edition. This hands-on workbook is designed to hone your SAS skills whether you are a student or a professional.
Smart Data Discovery with SAS® Visual Analytics
By Felix Liao
Anticipated publication date: First quarter 2020
Most SAS Visual Analytics users today only use the most basic visualizations and charts and are only scratching the surface in terms of the tool’s full potential. These users lack basic understanding of the more advanced analytics techniques, struggle with identifying the relevant business context in which to apply these advanced techniques and are not familiar with the relevant SAS Visual Analytics components.
The purpose of this book is to present these related concepts in a cohesive, simple and practical manner and equip the readers with the necessary knowledge and skill to take their data discovery to the next level using SAS Visual Analytics. Topics covered include a high-level overview of SAS Visual Analytics (the user interface, key features and various foundational concepts that are critical in supporting subsequent chapters) as well as applications of smart data discovery techniques. This will include multiple sections that provide relevant theories, business context and detailed guidance on how to build and interpret these advanced charts using SAS Visual Analytics such as
- Beyond basic visualizations
- Prediction (Linear Regression, Logistic Regression, Decision Trees)