Statistics for Humans: Failures, Values, and Conflicts in Data Science
3.0
creditsAverage Course Rating
Data does not speak for itself, and the way we use data is a matter of choice. This course will explore the human element of statistics: how statistics drive decision-making, how people can be deceived by statistics, what problems data science poses for the 21st century, and other topics. Case studies in public health will be emphasized. A previous course is statistics is recommended. This is a Gordis Teaching Fellowship course. Priority registration is given to Public Health Studies majors. Other students will be permitted to register as space allows.
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