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AGRON 5130: Data Science for Agricultural Professionals

(Cross-listed with STB 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)

Agronomy is the science and technology of producing plants that serve humans, using practices essential for maintaining and improving life. The Department of Agronomy offers a major leading to a degree of Bachelor of Science (B.S.) in agronomy. Graduates have the theoretical and practical knowledge needed for efficient and sustainable crop production. They are skilled in critical thinking, problem solving, communicating, and working effectively with others. They understand the ethical, cultural, and environmental dimensions of issues facing agronomists globally.