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1
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69078
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Laboratory-Discussion
Lecture
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DSE
DSE
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2:00PM
-3:50PM
12:30PM
-1:20PM
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R
R
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M205 Turner Hall
W223 Turner Hall
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Van Doren, B
Van Doren, B
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- Availability:
- Open
- Part of Term:
- 1
- Date Range:
- 08/24/26-12/09/26
- Credit:
- 3 hours
- Section Title:
- Data Skills for Env. Sciences
- Section Info:
- DATA SKILLS FOR ENVIRONMENTAL SCIENCES: This course provides graduate students in the environmental sciences with essential skills in organizing, managing, cleaning, analyzing, and archiving quantitative data for reproducible and exploratory research. Through lectures, hands-on exercises, and an independent project, students will learn best practices for data storage, version control, and database management using tools like R, Python, SQL, and Git. They will develop workflows for data cleaning, transformation, visualization, and sharing, ensuring their research is transparent and transferrable. Special topics include handling large datasets, ethical considerations in data science, automated analysis workflows, and computing resources available at Illinois. By the end of the course, students will have completed a capstone project applying these skills to a quantitative dataset of their choice. Letter grading.
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1
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81452
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Lecture
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MSE
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12:00PM
-12:50PM
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MWF
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W203 Turner Hall
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Yannarell, T
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- Availability:
- Open
- Part of Term:
- 1
- Date Range:
- 08/24/26-12/09/26
- Credit:
- 3 hours
- Section Title:
- Multivariate Stats for Ecology
- Section Info:
- Overview of multivariate data analyses that can be commonly used in ecology and environmental sciences. Topics include ecologically relevant transformations of multivariate data, classification, ordination, statistical tests for difference between groups, and follow-up tests to identify influential variables. Emphasizes the practical and decision-making considerations behind each analysis, and also provides hands-on practice of data analysis and documentation using R. Restricted to graduate students. No prerequisites, but prior familiarity with statistical data analysis is helpful.
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