4.00 Credits
Computational methods for collecting, manipulating, exploring, and graphing data. Basic principles of exploratory data analysis and statistical graphical methods. Numerical optimization and integration pertinent for statistical calculations; simulation and Monte Carlo methods; bootstrapping; and other modern topics. All the computing methods will be illustrated using version control, R, SAS, SQL, Python, and appropriate choice of data visualization.