What programming languages are popular for statistics and data science? What tools are useful for working with those languages? Should I learn R or Python, or stick with something easier like Stata? If you've asked yourself these or similar questions, this workshop is for you!
The Research Computing Environment (RCE) is a large powerful computer cluster that you can use for computations that are too large to be conveniently done on a personal computer. This workshop will introduce you to the features available on the RCE and show you how to use the system effectively.
This class will provide a hands-on introduction to Stata. You will learn how to navigate Stata’s graphical user interface, import data, calculate descriptive statistics and manage data and value labels. This workshop is designed for individuals who have little or no experience using Stata software.
This hands-on class will provide a comprehensive introduction to graphics in Stata. Topics for the class include graphing principles, descriptive graphs, linear regression, factor variables, and post-estimation graphs. This is an introductory workshop appropriate for those with only basic familiarity with Stata.