Computing Using R Python

3 Credits · Level: Graduate, Undergraduate

The goal of this MS level course is to provide students with a programming background sufficient for graduate level study in mathematics and statistics. The course gives an introduction to R and Python. R is widely used by practicing statisticians and data scientists. This portion of the course will be structured around statistical methods and examples will be worked out using both computing environments. Statistical topics to be covered include data management, simulation, descriptive statistics, graphical displays, hypothesis testing, correlation, regression models, and simple multivariate analysis methods. The introduction to Python will cover the basic structure of the language, commands, scripts and graphing.