Applied Economic Data Analysis
Applied Economic Data Analysis applies data science methods to economic analyses, integrating data acquisition, cleaning, analysis, and interpretation in managerial contexts with an emphasis on the agri-food supply chain.
Summary
What you’ll be able to do
Manipulate, organize, and visualize quantitative economic data using computer software
Conduct statistical analyses and estimate basic linear regression models of economic data
Correctly report and interpret results from statistical analyses of economic data in the context of informing managerial decisions
Set up and solve linear and non-linear programming problems that inform economic decision-making using computer software
Integrate uncertainty into the analysis of economic decisions and articulate how uncertainty influences managerial decisionmaking
Effectively communicate verbally, visually, and in writing the process and results of data analysis for managerial decisionmaking
Source: UW Guide
Grade history
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Prerequisites
Course mapGraduate/professional standing
- Graduate/professional standing
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- Graduate/professional standing
Professors
Spring 2027No instructors recorded for this selection.
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Student experience
the class
Application of data science methods to economic analyses. Integration of data acquisition, cleaning, analysis, and interpretation in managerial contexts. Emphasis on applications in the agri-food supply chain.
difficulty & workload
No workload feedback recorded.
Topics
- Data science methods applied to economic analyses
- Data acquisition, cleaning, analysis, and interpretation in managerial contexts
- Applications in the agri-food supply chain
- Statistical analyses and linear regression models of economic data
- Linear and non-linear programming problems for economic decision-making
- Uncertainty in economic decision analysis
Skills
- Manipulate, organize, and visualize quantitative economic data using computer software
- Conduct statistical analyses and estimate basic linear regression models of economic data
- Report and interpret results from statistical analyses of economic data to inform managerial decisions
- Set up and solve linear and non-linear programming problems using computer software
- Integrate uncertainty into the analysis of economic decisions
- Communicate data analysis processes and results verbally, visually, and in writing
Grades
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Explore recorded gradesRecorded 2026-10-14
Model outputs & technical records
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Full model traces
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Model & dataset provenance
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"model": "Qwen/Qwen3.8-27B",
"model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
"task_version": "17",
"output_id": "f5f8225be598833423fc694a689fce6acc55d20e15bbac69a5f0dfaf83b4620f",
"requirements_status": "valid",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}