DATA ACQUISITION, PREPARATION AND VISUALIZATION

Catalog description

(Slashed with ECON 42050 ) Accessing and collecting data from existing sources (databases and raw data), transformation of raw data into formats that can be used for final analysis, techniques for presentation and visualization of data, predictive analytics using machine learning and cross validation. Students will perform some work in SAS but will also be introduced to the R statistical language.