The Practice and Application of Data Science

4 credits

The marriage of data, computation, and inferential thinking, or “data science,” is redefining how people and organizations solve challenging problems and understand the world. This course bridges lower- and upper-division data science courses as well as methods courses in other fields. Students master the data science life-cycle and learn many of the fundamental principles and techniques of data science spanning algorithms, statistics, machine learning, visualization, and data systems. Prerequisites: DSC 30/R and DSC 40A/R. Restricted to students within the data science or business data science major. All other students will be allowed as space permits.