Graduate Data Analytics

Catalog description

This course introduces students to data analytics tools and techniques tailored for biological research. Students will learn to manage, analyze, and interpret large datasets commonly encountered in modern biology. Topics may include; database management, dimensionality reduction, cluster analysis, anova variants, generalized linear modeling, survival analysis, time-series analysis, and multi-omics integration. The course emphasizes practical applications, reproducible research practices, and ethical considerations when handling data.