HRIR 6112: People Analytics

2 CreditsOnline Available

Grounded in a data-driven approach to solving business challenges tied to people, this course emphasizes how students can apply their HR domain knowledge to inform, shape, and deliver on people analytics projects. The course aims to give you exposure to core concepts in machine learning, including prediction, classification, and segmentation, in order to collaborate with data scientists, generate insights, and inform decisions. Students will learn how to more effectively communicate their data insights through streamlined storytelling to provide compelling recommendations to decision makers. Students will be given the opportunity to use Excel and/or Tableau, and will also be introduced to predictive analytics software.

View on University Catalog

All Instructors

A Average (3.837)Most Common: A (70%)

This total also includes data from semesters with unknown instructors.

50 students
  • 4.15


  • 4.03


  • 4.21


  • 4.26


  • 4.21



      Contribute on our Github

      Gopher Grades is maintained by Social Coding with data from Summer 2017 to Fall 2023 provided by the Office of Institutional Data and Research

      Privacy Policy