MATH 313 - Statistics for Data Science

Recent advances in Data Science have resulted in the introduction of many new methods in Applied Statistics. This course focuses on the application of some of these new methods in two of the main branches of Data Science - supervised and unsupervised learning.

Credits: 3
Terms Offered: Fall
Prerequisites: MATH 215 or MATH 219 with a grade of C- or better