Data Science for Agricultural Professionals

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(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)→STB 5130→unlocks 0 courses

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