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This course provides students with the basic skills necessary to undertake the analysis of epidemiologic data that is clustered in space and time. Throughout the course students will work with data collected via epidemiologic studies or as part of surveillance and will learn how to visualise spatial and temporal patterns, describe and quantify those spatial and temporal patterns and explain the observed patterns.
Note(s): DataCamp tutorials will be used (https://www.datacamp.com/)
Note: You may enrol in a postgraduate course (that is a 700-, 800- or 900-level course) if you meet the prerequisites for that course and have been admitted to a qualification which lists the course in its schedule.
|2020||Semester Two non-standard||Block||Manawatu Campus|
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