Generalized linear models are a versatile tool for analyzing different types of data, like binary outcomes or counts. They are a collection of regression models that can handle various responses, from continuous to categorical. The focus is on binary and count data, as they are commonly seen in real-world applications. Ordinal regression models are also discussed, showing unique characteristics when viewed as generalized linear models.