HRIR6112: People Analytics

2 CreditsGoal 10 - People/EnvironmentGoal 6 - Hum: Arts/Lit/PhilOnline 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.

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All Instructors

A Average (3.840)Most Common: A (69%)

This total also includes data from semesters with unknown instructors.

74 students
WFDCBA
  • 4.15

    /5

    Recommend
  • 4.03

    /5

    Effort
  • 4.21

    /5

    Understanding
  • 4.26

    /5

    Interesting
  • 4.21

    /5

    Activities


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