Overview

Unlock the essentials of SAS programming! Fundamentals of Programming in SAS: A Case Studies Approach gives a complete introduction to SAS programming. Perfect for students, novice SAS users, and programmers studying for their Base SAS certification, this book covers all the basics, including: working with data creating visualizations data validation good programming practices Experienced programmers know that real-world scenarios require practical solutions. Designed for use in the classroom and for self-guided learners, this book takes a novel approach to learning SAS programming by following a single case study throughout the text and circling back to previous concepts to reinforce material. Readers will benefit from the variety of exercises, including both multiple choice questions and in-depth case studies. Additional case studies are also provided online for extra practice. This approach mirrors the way good SAS programmers develop their skills-through hands-on work with an eye toward developing the knowledge necessary to tackle more difficult tasks. After reading this book, you will gain the skills and confidence to take on larger challenges with the power of SAS.

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9781642952285

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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

Author Information

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.

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