Class Dates
01/16/2024 to 05/03/2024
Delivered By
Online Asynchronous
Doug Shane
Meeting Times
Meets by Appt
Meeting Location
Distance Education

Applied Analytics in Animal Health

AAI 862 - Class Number: 16467


The field of Animal Health data analytics is comprised of the application of data systems, data computing, and data programming. This course will cover all three areas of data systems, data computing, and data programming in an applied format that is specific to the animal health industry. This is an applied course for students interested in developing skills in analytics and data science as they apply to animal health. Students will be expected to assess relevant outcomes in animal health systems while deducing proper methods for data preparation and manipulation, extrapolating understanding of data analytics to select the appropriate analysis approach, performing supervised and unsupervised machine learning, and effectively communicating both analysis and interpretation of outcomes as they apply to the field of animal health. Students will be asked to use Python and other software systems. Students will formulate reasons why working in interdisciplinary teams benefits analytic projects in animal health.


  • Instructor Doug Shane's permission is required after 01/23/2024.

Student Requirements:

  • Internet access

Enrollment Dates
10/23/2023 to 01/16/2024
Enrollment Limit

Credit/Tuition Options

Credit Option Hours

Enrollments received on or after the first day of class may be assessed a $65 special handling fee.

Courses in Kansas State University’s new tuition and fees structure charge by program type — campus-based or online — versus by individual course delivery format. Tuition and fees rates are available at