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- Identify a problem and the data needed for addressing the problem.
- Perform basic computational scripting using R and other optional tools.
- Transform data through processing, linking, aggregation, summarization, and searching.
- Organize and manage data at various stages of a project life cycle.
- Determine appropriate techniques for analyzing data.
Course
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Syllabi
IST 387 LECTURE Spring 2021 Syllabus- Jasmina Tacheva
IST 387 LAB Spring 2021 Syllabus - Chris Dunham
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