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IS 597 PDO - Adv Topics Data An & Data Sci - Practical Health DataAnalytics

Campus: Urbana-Champaign

Description:

Variety of newly developed and advanced topics courses within the fields of Data Analytics & Data Science, intended to augment the existing Information Sciences curricula. Course Information: 2 to 4 graduate hours. No professional credit. Approved for Letter and S/U grading. May be repeated in the same or separate semesters to a maximum of 16 hours, if topics vary.

Special Instructions:

This course provides hands-on experience with practical data analysis. Datasets will be drawn from the health sector and will include structured, unstructured, social media, and geospatial data. Students will work in teams to refine the project question, identify the appropriate analytical methods, obtain any necessary supplemental data from online sources, perform the analysis, visualize the results, and present the project to stakeholders. Teams will be assigned based on analytical skill-level from basic statistics to advanced machine learning. Students should have taken an introduction to statistics class, but no prior experience in the health domain is required. Graduate student questions may be sent to ischool-advising@illinois.edu

Option 1

Number of Required Visit(s): 0

Course Level: Graduate

Credit: 4

Term(s): Spring


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