Data Science for Life Sciences
Durham
Life Sciences & Agriculture::Biology
Credits: 4.0
Class Size: 20
Term:
Fall 2024
-
Full Term (08/26/2024
-
12/09/2024)
CRN:
13454
Grade Mode:
Letter Grading
Introduces students to the basic data analysis and programming tools commonly used throughout the life sciences. Students will become proficient in R programming, data wrangling and cleaning, the principles of open and reproducible science, SQL database management, version control via Git/Github, building maps, and Bash command lines. Data sets and case studies from across the life sciences will be used throughout the course. The class culminates with an small group project.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Instructors:
Easton White
Times & Locations
Start Date | End Date | Days | Time | Location |
---|---|---|---|---|
8/26/2024 | 12/9/2024 | W | 10:40am - 12:00pm | SLS G47 |
8/26/2024 | 12/9/2024 | TR | 2:10pm - 3:30pm | DEM 240 |