DATA SCIENCE FOUNDATIONS

Catalog description

This course provides an overview of the field of data science and examines a variety of tools for solving data-insightful problems. The presented methodologies include numerical computing, data processing, visualization, and making predictions via machine learning. Bias and ethics in data science and their potential consequences are also discussed. (3 credits) fall