Modeling with Data in the Tidyverse

This course will show you how to use data to create models. Models attempt to capture the relationship between an outcome variable of interest and a series of explanatory/predictor variables. These models can be used for explanation (e.g. Does knowing the ages and teaching methods of professors help explain their teaching evaluation scores? Predictive purposes (e.g. Predictive purposes (e.g. These models can be built and interpreted with your tidyverse skills. This course will focus on linear regression. It is the easiest and most popular method of modeling. This type of thinking is used in many areas, including statistics, causal inference and machine learning.