STB 5130: Data Science for Agricultural Professionals
(Cross-listed with AGRON 5130).
Credits: 3. Contact Hours: Lecture 3.
Prereq: AGRON 1810 or equivalent, MATH 1400, STAT 1040
Quantitative 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)