This course covers a variety of data models, including linear regression, logistic regression, random forests, and nearest neighbors. You will learn how to express a business problem, such as customer revenue prediction, as a linear regression task and how to assess variables as potential predictors of the required target. You will also explore alternative approaches to classification, including neural networks and deep learning.