Core Methods in Data Science

5 credits

Surveys the major topics within data science, including data ingestion, cloud computing, statistical inference, machine learning, information visualization, and data ethics. Includes programming in R and Python. Prerequisite: INFO 201; either CSE 122, CSE 123, CSE 142, CSE 143, CSE 160, or CSE 163; and either STAT 220, STAT 221/CS&SS 221/SOC 221, STAT 290, STAT 311, STAT 390, QMETH 201, or Q SCI 381.