INTERMEDIATE DATA SCIENCE

Catalog description

This course introduces intermediate data science and its implementation using R and Python, with applications in natural and social science, public health and welfare, and other areas. Students will explore methods of data analysis, cleaning, simulation and visualization and machine learning. Prior knowledge of programming and statistical analysis is assumed. PREREQ: (( COMPSCI 170 AND COMPSCI 180 ) OR ( COMPSCI 220 OR COMPSCI 221 OR COMPSCI 222 )) AND ONE COURSE IN STATISTICS ( BIOLOGY 303 OR ECON 245 OR STAT 230 OR STAT 342 OR PSYCH 215 OR SOCIOLGY 295 OR SOCWORK 250 ) OR INSTRUCTOR CONSENT