Prerequisites: Familiarity with basic statistical calculations and graphs is helpful. In this one-day, six-hour workshop we will discuss the basics of using SAS for data analysis. The workshop is held…

In the R by Example series of workshops, we’ll discuss example analyses in R as a vehicle for learning  commonly used tools and programming patterns.  The “Functional Programming with dplyr” workshop will…

Audience: Those who have never used Stata before but wish to learn. By the end of the workshop, participants will be able to: Work with Stata, including using Do-files and…

Multilevel modeling is the state-of-the-art approach for handling data with complex dependence structure in a regression analysis.  This workshop will discuss fitting multilevel models in Python using the Statsmodels package.…

In this workshop we will use Make to manage build dependency in a multi-file, multi-language software project.  We will learn how to use Make functions, automatically generate dependencies, and inquire…

This workshop will be heavy on conceptual understanding of basic regression modeling, but with demonstration of activities both essential and tangential to good modeling practice. GLM, model interpretation, model comparison,…

This workshop will introduce you to the NumPy library in Python, which is useful in scientific computing. We will cover NumPy’s n-dimensional array object and associated functions in depth, along…