Applied Regression Modeling

This course focuses on one of the most important tools in your data analysis arsenal: regression analysis. Using either SAS or Python, you will begin with linear regression and then learn how to adapt when two variables do not present a clear linear relationship. You will examine multiple predictors of your outcome and be able to identify confounding variables, which can tell a more compelling story about your results. You will learn the assumptions underlying regression analysis, how to interpret regression coefficients, and how to use regression diagnostic plots and other tools to evaluate the quality of your regression model. Throughout the course, you will share with others the regression models you have developed and the stories they tell you

• Use SAS or Python to perform linear regression
• Handle non-linear relationships between variables
• Examine multiple predictors of outcomes
• Identify confounding variables
• Understand regression assumptions
• Use diagnostic plots to evaluate models

• Basic computer and internet skills
• Ability to understand instructions and complete exercises in English