Data Science for Agricultural Professionals

CT Score

1500

#0 of 0 in AGRON

Difficulty

—/10

Workload

—h/wk

Median grade

—

from grade distribution

Would take again

—

n = 0 verified

Grade distribution

No distribution published for this course.

By professor: same course, different game

PROFESSORSCOREGRADEHRS/WKTERMS

Professor ratings →

Sections

No section data for this term yet.

In the tree

(AGRON 1810 or equivalent, MATH 1400, and STAT 1040) or Graduate ClassificationQuantitative methods for analyzing and interpreting agronomic information. Principles of experimental design, hypothesis testing, analysis of variance, regression, correlation, and graphical representation of data. Use of SAS and Excel for organization, analyzing, and presenting data. (Typically Offered: Fall, Spring)→AGRON 5130→unlocks 3 courses

3 mapped courses list AGRON 5130 as a prerequisite. See on the map →

Study groups

0 active

🔒 Verified-only writes. You post as “sophomore, lecture section”: real enough to trust, anonymous enough to be honest.