DATA 311 - Fundamentals of Data Science

Introduction to the fundamentals of data science, focusing on techniques for collecting, processing, visualizing and organizing data. Applied machine learning concepts will also be covered, including fundamentals of machine learning experimentation and the use of libraries to perform clustering, classification and regression. Includes lab.

Prerequisites & Notes: CSCI 141; One of: MATH 112, MATH 114, MATH 115, MATH 118, MATH 124, MATH 125, MATH 134, MATH 138, MATH 156 or suitable math assessment score.
Credits: 4
Grade Mode: Letter