Data Science

Catalog description

Explores methods and tools used to work with complex and large data sets. Topics covered will include multilinear regression, K Nearest Neighbors, classification methods, generalized linear models, resampling methods, linear model selection, Non-linear modelling, and tree based methods. R programming is required.