15-687 Research in Practical Data Science

9–12 units, Carnegie Mellon University

This course is a research followon to 15388688 Practical Data Science. In this course, students will 1 select an applied topic that can be approached using techniques in data science 2 collect and build a data set for the topic ideally one which can be released publicly 3 apply a variety of analysis methods and algorithms to understand andor make predictions based upon their data and 4 develop a short report in the form of a paper with publicly available code. Students must have previously taken 15388688 for credit and received a passing grade.

Prerequisites: 15-688 (min B)

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