Professor of Statistics, UNC-Wilmington
Jim 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 more than 15 years. These courses cover topics in SAS/BASE, SAS/SQL, SAS/STAT, and macro language. He also regularly teaches courses in regression, experimental design, categorical data analysis, and mathematical statistics; and he is a primary instructor in UNC Wilmington’s Data Science program which debuted in fall 2017. Jim 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 Ph.D. in Statistics from Oklahoma State University in 2000.
By This Author
Fundamentals of Programming in SAS® : A Case Studies Approach
Written specifically for classroom use, this title will give new SAS users, including those seeking Base Programmer certification, an in-depth introduction to all the topics required to become a proficient SAS programmer. Topics include working with data in various forms and data manipulation, creating a variety of tabular and visual summaries of data, as well as data validation and good programming practices. The book pursues learning objectives in a spiral curriculum that returns to build upon topics introduced earlier, and at its core uses large-scale projects presented as case studies.
- Marie Gaudard is a consultant specializing in statistical training with the use of JMP. She is currently a statistical writer with the JMP documentation team
- Satish Garla is a former Analytical Consultant in Risk Practice at SAS.
- Sam Gardner is a Senior Research Scientist at Eli Lilly and Company where he is focusing on business analytics and using statistical modeling.