BIOL 633 (01) - Data Analysis for Life Science
Data Analysis for Life Science
Credits: 4.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:
20
CRN: 14105
CRN: 14105
Expand your statistical knowledge and resume by learning R. Use project-based learning to explore topics such as inequalities of life expectancy, heart disease and risk behaviors, biomagnification of ecotoxins, and impacts of ticks on wildlife populations while learning statistical skills and R. In this course students will learn to become proficient in R (data manipulation, graphing, hypothesis testing, importing and cleaning data) and learn to effectively communicate statistical results.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Instructors: Patricia Jarema
Start Date | End Date | Days | Time | Location |
---|---|---|---|---|
8/26/2024 | 12/9/2024 | MW | 10:10am - 11:00am | KING N134 |
8/26/2024 | 12/9/2024 | F | 10:10am - 12:00pm | KING N134 |