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DATA623

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Big Data in Health

Graduate Science Education (O) MD - Cumming School of Medicine

Subject

DATA - Data Science

Description

Many of the major health data assets that exist in Alberta and Canada will be explored through hands-on experience with several datasets. Issues relating to access, confidentiality, privacy and data stewardship will be examined. Methodological challenges related to data linkage will be discussed. Students will work with large health databases including health administrative data, electronic medical record data and various other databases.

Prerequisite(s): Data Science 601, 602, 603, 604 and admission to the Graduate Diploma in Data Science and Analytics, or the Master of Data Science and Analytics.

Course Attributes

Fee Rate Group(Domestic) - H, Fee Rate Group(International) -G, GFC Hours (3-0)

Courses may consist of a Lecture, Lab, Tutorial, and/or Seminar. Students will be required to register in each component that is required for the course as indicated in the schedule of classes. Practicums, internships or other experiential learning modalities are typically indicated as a Lab component.

Component

LEC

Units

3

Repeat for Credit

No

Subject code

DATA

Understanding Course Information

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