GEMS Learning - Getting Started Using Data to Support Decisions

GEMS Learning provides modular non-credit digital and data science education for working professionals and students in food, agriculture, and natural resource application areas. Across the curriculum, instructors have built their course content from their own work executing large-scale data science projects to solve agricultural problems. 

Series: Digital Agriculture

Data is everywhere in agriculture, but knowing what to do with it isn't always easy or straightforward. These modules 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 visualizations.

Getting Started Using Data to Support Decisions

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.

Fee: $280 (no fee for U of M affiliated)

The other course in the Digital Agriculture series is:

• Using Simple Models to Guide Decision Making

Scholarships are available (see the link on the registration page). See the full line-up of courses and register.