Applications of analytical tools to develop data-driven solutions to agricultural and natural resource problems. Using industry relevant software to visualize data using tables and figures as well as analyze data using summary statistics, correlations, and regression to provide science-based solutions to questions.

Satisfies Volunteer Core Requirement: (QR)
Contact Hour Distribution: 2 hours lecture and one 2 hour lab.

Facebook this Page (opens a new window)

Tweet this Page (opens a new window)

Add to Portfolio (opens a new window)