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Jul 06, 2025
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ES 125 - Environmental Data Analysis
Credits: 3
Environmental science is an applied discipline with an explicit focus on determining the causes of ecosystem disruption and suggesting potential remedies or remediation strategies. Environmental data analysis is all about determining the probability that the data collected from monitoring observations or experimental manipulations indicate real changes or differences in key environmental parameters. Statistical analysis will inform the researcher of the degree of confidence in their conclusions from experiments or monitoring. In this course, students explore a variety of statistical data analysis approaches routinely employed in environmental science. Working with both large and small sets of data, students become proficient in choosing appropriate analyses, manipulating data and conducting analyses with computer programs Excel and R, and rendering analysis results into reportable formats.
This is both a Community-Based Learning - Required (CBL-R) and Sustainability-Focused (SF) course.
Prerequisite/Corequisite
Prerequisite(s): Introductory science course or permission of instructor
Learning Outcomes
Upon completion of this course, you should be able to do the following:
- Explain the major formats of data as they are used in data analysis.
- Determine data distributions for statistical testing.
- Demonstrate proficiency with statistical analysis programs/applications.
- Determine appropriate statistical tests for a variety of data set formats.
- Acquire proficiency in research design to include a priori identification of analyses to be employed.
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