BSTA 522 Statistical Learning & Data Science

Credits: 3
This course is designed to introduce theory and methods for statistical learning and data science. Data science is an emerging field that overlaps with computer science, artificial intelligence, machine learning/deep learning and statistics. This is an exciting time to observe the birth of the new field. In recent years, statistical learning has been increasingly becoming crucial in data science. Ever-increasing data complexity and unconventional data create new challenges for traditional statistical learning, and this is an active research area. This course will cover traditional statistical learning methods as well as newer methods for such challenges.

Graded: A-F
May be taken only once for credit