COMM 386H - HR Analytics: Data and Metrics for HR Professionals

This course introduces students to HR analytics and data management in the HR field. Given the increasing significance of and interest in data-driven decision-making in organizations, this hands-on course will equip students with the applicable skills required to develop analytical skills to understand, evaluate, and address strategic HR decisions. As such, students will learn how to apply descriptive statistics and statistical inference to decisions in core HR areas, including recruitment, selection, compensation, training, and performance management using organizations’ HR data and human capital metrics collected from employee surveys. Students will use data and statistical tools to evaluate and make recommendations for HR policies and practices, while connecting these analyses to the business strategies and goals.

Learning objectives

Upon completing this course, students will be able to:

  • identify relevant data and metrics appropriate for solving HR problems and making informed decisions in the field of HRM.
  • use R to manage and prepare large personnel and employee survey datasets for statistical analysis.
  • apply statistical analysis to solve HR problems.
  • understand limitations of the analysis.
  • accurately interpret and effectively communicate the results so they can be used in actionable decisions.

Prerequisite: All of COMM 203, COMM 205, and COMM 291

Course credits:
3

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