MHA 504 - Predictive Data Analytics

3 Credit Hours
This course focuses on statistical inference and hypothesis testing methods in predictive analytics. Students will learn the application of statistical methods for analyzing both continuous and discrete data for knowledge discovery. Analytic continuous and discrete data concepts and methods are developed with practical skills in exploratory data analysis. Descriptive statistics, goodness-of-fit tests, correlation measures, single and multiple linear regression, analysis of variance and covariance (ANOVA and ANCOVA), contingency tables, logistic regression, multinomial and multivariate models will be covered. Application of various statistical methods using case studies and real-world data will leverage statistical assessment and interpretation.