In this course, students will learn how to use predictive human resources (HR) analytic techniques to improve upon an organization’s ability to find, screen, recruit, train, on understanding engage, and retrain new employees. The class will start by defining HR analytics with special emphasis on understanding the need for utilizing HR analytic techniques, information systems, data, and analysis strategies. Additional topics include applied statistical modeling in the areas of diversity analytics, employee attitude surveys, predicting employee turnover, predicting employee performance, selection analytics, and HR policy evaluation. Upon completion, students will be able to determine the appropriate quantitative method given the different types of HR data available to a firm with the ultimate goal of improving upon HR operations. Finally, students will learn how to utilize a statistical processing software package in a lab-like setting to construct and interpret predictive HR analytics.
UPON COMPLETION OF THE COURSE, THE STUDENT WILL BE COMPETENT IN: