cmsc320_s2017_final_rubric.pdf - CMSC320 Introduction to Data Science Final Tutorial Spring Semester 2017 John Dickerson University of Maryland

cmsc320_s2017_final_rubric.pdf - CMSC320 Introduction to...

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CMSC320 – Introduction to Data Science Final Tutorial Spring Semester 2017 John Dickerson University of Maryland Department of Computer Science 1 Summary In lieu of a final exam, CMSC320 students will turn in a tutorial that will walk users through the entire data science pipeline: data curation, parsing, and management; exploratory data analysis; hypothesis testing and machine learning to provide analysis; and then the curation of a message or messages covering insights learned during the tutorial. Students may choose an application area and dataset(s) that are of interest to them; please feel free to be creative about this! (For some ideas and possible data sources, see the lecture slides from April 25th.) The tutorial should be self-contained, a mix of Markdown prose and Python code, and delivered as a GitHub statically-hosted Page (described below). As an example tutorial, check out this geospatial analysis of the outbreak of Cholera: . In
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