Correlation & Regression, Statistical Inference, Item Response Theory (Fall 2015)

Experimental Design, Bayesian Analysis, Exploratory & Graphical Data Analysis, Factor Analysis (Spring 2016)

Statistical Computing, Structural Equations Modeling, Fundamentals of Probability, Programing & Problem Solving–Java (Fall 2016)

Program Design & Data Structures–Python, Machine Learning, Practical Machine Learning, SAS (Spring 2017)