Stack of SAS books

SAS® Upcoming Titles

PROC FCMP User-Defined Functions: An Introduction to the SAS® Function Compiler

By Troy Martin Hughes
Anticipated publication date: First Quarter 2024

In this book, readers are introduced to the FCMP procedure and instructed how to build user-defined functions—callable, reusable, beautifully bite-sized chunks of software functionality that will fundamentally change how you design and develop SAS software. But first, readers are introduced to functions themselves and gain an understanding of how functions improve the quality of software as well as the software development environment. And with this foundation, FCMP syntax is incrementally demonstrated through requirements-based examples. You will walk away having gained the ability to examine your own software business needs, and to evaluate whether, where, and how you can implement user-defined functions to overcome obstacles, provide analytic insight, and deliver business value.

The Simple Guide to SAS®: From Null to Novice

By Kirby Thomas
Anticipated publication date: Second Quarter 2024

This simple guide will help new coders learn the basics and get up and running in SAS quickly. It can be used as on-the-job training or as a resource for an introduction to SAS course. After completing this book, readers will understand the fundamentals of SAS programming, like how SAS processes data, how to set up libraries, syntax structures for data steps and procedures, importing and exporting data, viewing and summarizing data, data transformations, combining and aggregating data, and Creating Reports. The guide organizes information by topic, explains common business problems and how to solve them using SAS, details common pitfalls to avoid, and provides example code and datasets for readers to follow along with.

Financial Data Science with SAS®

By Babatunde O. Odusami
Anticipated publication date: Third Quarter 2024

Financial Data Science with SAS® will give readers a practical foundation in the different types of analytical techniques and quantitative tools used in the financial services industry using SAS as the main platform.

The main subjects of the books are set around five themes: 

  • An overview of financial data science and its various applications in the financial services industry.
  • A practical introduction into how to visualize and derive inferences from financial data. 
  • A practical introduction into how to solve financial problems using financial data.
  • A practical application of predictive analytics in financial services settings.
  • An overview of fintech and other innovations in Financial Services.