HRIR3111
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HRIR 3111 - Human Resource Analytics (2 Cr.)
CSOM Work & Organizations (11268)
TCSM - Curtis L. Carlson School of Management
Course description
This course introduces students to fundamentals of machine learning with a strong focus on communicating insights from data analysis and analytics. It is designed to provide students with opportunities to develop data processing, analysis, and visualization skills by taking a data-driven approach to HR’s impact on the business, with a topical focus on diversity, equity and inclusion. Students will learn how to effectively communicate insights from data analysis and analytics through streamlined storytelling presentations aimed 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.
Prerequisites: HRIR3021 or HRIR3021H or IBUS 3021 and SCO 2550 or BA 2551 or equivalent statistics course
Prerequisites: HRIR3021 or HRIR3021H or IBUS 3021 and SCO 2550 or BA 2551 or equivalent statistics course
Minimum credits
2
Maximum credits
2
Is this course repeatable?
No
Grading basis
A-F - A-F Grade Basis
Lecture
Requirements
HRIR 3021 Or HRIR 3021H OR IBUS 3021
Fulfills the writing intensive requirement?
No
Typically offered term(s)
Every Spring