DATA101 - Introduction to Data Science

Fall 1

Course Description

DATA 101 is an introduction to data science: cleaning and organizing real datasets, building weighted models and rankings, comparing groups statistically, and communicating findings through written reports and visualizations.

Projects

College Rankings: A Personal View

Built a personalized college-ranking algorithm, weighting cost, retention rate, and diversity metrics to match the needs of a specific hypothetical student.

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COVID Vaccination Trends: Germany, France & the US

Analyzed COVID-19 vaccination and booster trends in Germany, France, and the United States using public OWID data, comparing adoption rates per capita across all three countries.

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Weapon Preference in Homicides: A Gendered Perspective

Examined FBI crime data from 1980–2014 to explore how perpetrator and victim sex relate to weapon choice in homicides.

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Final Project

The Banana Index: A Unique Way to Look at Food Efficiency and Environmental Impact

Created a custom "Banana Index" formula to compare foods by CO2 emissions per nutritional value, ranking the ten most and least environmentally efficient foods.

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