Statistical Computing with R and Python

Catalog description

Credits 3. 3 Lecture Hours. Aspects of numerical analysis for statisticians and data scientists including matrix inversion, splines, function optimization and MCMC; emphasis on implementing methods in R and python; data science skills such as code profiling, web scraping and data visualization. Prerequisites: Graduate classification; basic knowledge of R or Python.