Danny Modlin

Danny Modlin serves as Senior Analytical Training Consultant at SAS, bringing unique expertise in spatial Bayesian environmental statistics and educational technology. His academic background includes advanced studies at NC State University, where his research focused on hurricane forecasting and wind modeling. Prior to joining SAS, he spent six years teaching mathematics and computer science in secondary education before pursuing graduate studies in statistics. Through his Coursera course "Modeling Time Series and Sequential Data," he shares his expertise in statistical analysis and forecasting methodologies. His work at SAS includes teaching advanced analytics courses and developing training materials for statistical concepts and SAS software applications. His specialties include Bayesian analysis, categorical data analysis, and logistic regression, with particular emphasis on making complex statistical concepts accessible to diverse audiences. Currently leading training initiatives for SAS Visual Statistics in SAS Viya, he continues to bridge the gap between theoretical statistics and practical applications in business analytics.