Prerequisites: This course is intended for students with limited or no background with data, but have practical experience working in agriculture, food, or environment.

Data is everywhere in agriculture, but knowing what to do with it isn't always easy or straightforward. This module will give you the basic tools for analyzing a decision-making context, evaluating the data needs, collecting or integrating data, and then performing basic analysis and visualization in Excel, R, Python, and QGIS. We will also cover some of the common pitfalls of using data to drive decision-making to be sure you and your teams can avoid them.


  • Analyze a decision-making context to identify what the decision is, what options exist for decision-making, who the decision-maker(s) is (are), what mechanisms of decision-making are used
  • Identify what data exists and what data needs to be collected or integrated to support decision-making
  • Perform basic data visualization in Excel, R, Python, and QGIS including importing data (csv, shapefiles), subsetting data, and making boxplots, scatterplots, histograms, choropleth maps, and dot maps
  • Describe the decision-maker(s) each data visualization is targeted at and the appropriate uses and pitfalls of interpretation to guard against
Enroll Now - Select a section to enroll in
Section Title
Digital Agriculture: Getting Started Using Data to Support Decisions
10:00AM to 12:30PM
Mar 19, 2024
Online (US Central Time)
Schedule and Location
Contact Hours
  • Online (US Central Time)
Delivery Options
Instructor Led Online  
Course Fee(s)
Course Fee $175.00
UMN Affiliated $0.00
Section Details

Special Information about this Course:

  • Cancellations are subject to a $25.00 processing fee. 

Contact Information:

  • For questions regarding course registration, please email Kris Junker at junk0011@umn.edu or call 612-624-7253
  • For questions regarding course materials and contact, please email Bryan Runck at runck014@umn.edu
  • To request a scholarship for this course, please fill out this application form. Scholarship applications will be considered by a committee on a rolling basis.
  • For questions regarding system access, log-in, username, or password, please email help@umn.edu or call 612-301-4357
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