Project Description
“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! The tutorial should be self-contained, a mix of Markdown prose and Python code, and
delivered as a GitHub statically-hosted Page.”
Accessing My Tutorial on GitHub
I decided to use my tutorial to analyze the gender gap in global literacy rates. I provide information on how I retrieved, reorganized, visualized, and analyzed UNICEF literacy data in my tutorial.
Rachel Walter 