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5004. Introduction to Data Analysis in Agriculture
3.00 credits
Prerequisites:
Grading Basis: Graded
Concepts of data analysis applied to agriculture. Introduction to R/Rstudio and basic elements of coding, data management, data cleaning, graphics, and statistical analysis. The course covers software installation, basic and intermediate usage, and some of the common data analysis tools used in agricultural research. Additionally, the course covers some basic examples of bioinformatics that are commonly used in agriculture. Course includes recorded lectures, notes, homework, two small data analysis projects, and a capstone data analysis project.
Last Refreshed: 17-JAN-25 05.20.04.585408 AM
| Enrollment Data | Section | Class Number | Notes | Instructor | Enrollment | Session | Instruction Mode |
|---|---|---|---|---|---|---|---|
| 1248 13827 1 001 | 001 | 13827 | Fragomeni, Breno | 8/15 | Reg | Online Asynchronous |