James Blum is a Professor of Statistics at the University of North Carolina Wilmington where he has developed and taught original courses in SAS programming for the university for nearly 20 years. These courses cover topics in Base SAS, SAS SQL, SAS/STAT, and SAS macros. He also regularly teaches courses in regression, experimental design, categorical data analysis, and mathematical statistics; and he is a primary instructor in the Master of Data Science program at UNC Wilmington, which debuted in the fall of 2017. He has experience as a consultant on data analysis projects in clinical trials, finance, public policy and government, and marine science and ecology. He earned his MS in Applied Mathematics and PhD in Statistics from Oklahoma State University.
Through strategic employment of hands-on learning, self-tests, and in-depth explanations of powerful procedures, both veteran and new SAS programmers are able to learn about programming best practices and how to hone their skills within a structured and appropriately challenging environment. Deanna Schreiber-Gregory, Independent Consultant Statistical Theory and Data Management Juxdapoze Fundamentals of Programming in SAS: A Case Studies Approach is an excellent tool for learning Base SAS and beyond. The book provides something for everyone: step by step training for the novice programmers and challenging exercises for more experienced programmers. The case studies provide learners with real applications to programming to help overall understanding of Statistical Analysis with real data sets using SAS. Ellen H. Breazel, PhD Clemson University Coordinator for Data Science & Analytics Masters Program