Exploratory Data Analysis of Social Justice Issues

Catalog description

An introduction to data science focusing on the exploratory data analysis (EDA) phase. Data sets used for the EDA will be drawn from social justice issues. Topics include an introduction to data science and its life cycle, missing data, biases in data, data pre-processing, no-code data visualization, discovering patterns and anomalies in the data, simple hypothesis testing and simple regression modeling, and writing reproducible reports. Cross-listed With CEMA 1030 NUTR 1030