Statistical Computing I - Data Wrangling

Techniques for processing, cleaning, and visualizing messy data. Topics include data reduction strategies, data transformations, combining multiple data sources, and special types of data (text, spatial, dates and times, hierarchical).

Taught in Spring 2026, Spring 2025
Materials available at https://unl-statistics.github.io/stat251/