Statistical Programming in SAS Second Edition provides a foundation for programming to implement statistical solutions using SAS, a system that has been used to solve data analytic problems for more than 40 years. The author includes motivating examples to inspire readers to generate programming solutions. Upper-level undergraduates, beginning graduate students, and professionals involved in generating programming solutions for data-analytic problems will benefit from this book. The ideal background for a reader is some background in regression modeling and introductory experience with computer programming.The coverage of statistical programming in the second edition includesGetting data into the SAS system, engineering new features, and formatting variablesWriting readable and well-documented codeStructuring, implementing, and debugging programs that are well documentedCreating solutions to novel problemsCombining data sources, extracting parts of data sets, and reshaping data sets as needed for other analysesGenerating general solutions using macrosCustomizing outputProducing insight-inspiring data visualizationsParsing, processing, and analyzing textProgramming solutions using matrices and connecting to RProcessing textProgramming with matricesConnecting SAS with RCovering topics that are part of both base and certification exams.