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This course is designed to help graduate students develop skills in calculating and interpreting Non-Parametric data analytics. The course includes the application of nonparametric inferential and relational techniques. The statistical analyses include: Chi-squared family of tests, Mann-Whitney U, Wilcoxon Signed-Ranks and Rank-Sums, Kruskal-Wallis ANOVA, Spearman and Biserial correlations, Graphical analytics of Hierarchical Clustering, Dendrograms, K-Means Clustering, and Logistical Regression. Technology applications will include Excel statistical packages for Non-Parametric testing.