Course
- Code and title: MGS 5540, People Analytics
- Level: Graduate
- Institution: Kean University (Union) and Wenzhou-Kean University. I developed the course as part of the Supply Chain and Business Analytics master’s program development, a collaboration between the two campuses.
Terms taught
None. This is a course I developed; my CV records the development as completed. The course outline is dated October 2023.
What students learn
The course is about using data to understand people and human resource management in organizations. Students learn why HR is moving from intuition-based to evidence-based decisions, how to turn organizational data into insight for managing people, how to choose suitable analytical tools, and how to turn results into a narrative that decision makers at different levels can use.
Topics
Modules in the course outline:
- Introduction to people analytics
- Foundations of data in HR, including privacy, ethics, and compliance
- Analytical tools and techniques, from statistical methods to predictive modeling and machine learning
- Evidence-based decision-making in HR
- Communication and presentation of HR insights: storytelling and visualization
- Specialized applications: talent acquisition and retention, engagement and satisfaction, performance and productivity
- Capstone project on a real HR challenge
Tools
The outline includes hands-on sessions with HR analytics tools without naming specific software. One of the suggested texts gives its examples in R and Python.