Mastering Statistical Hypothesis Testing: Comparative Statistical Programming, Analysis, and Modeling for R, Python, & SAS®

Master the art of statistical hypothesis testing in this engaging, 7-hour comparative workshop that shows a comparison between R, Python, and SAS. Learn how to select and interpret the right statistical tests for your data, assess assumptions, visualize findings, and apply power analysis to plan for robust study and experimental designs. From 2-sample t-tests to factorial ANOVA, this session bridges theory and practice with hands-on exercises, cross-platform demonstrations, and expert instruction. Participants will leave with clear workflows, reusable code, and the confidence to perform rigorous statistical testing in any professional or research context.