MATH 228 Introduction to Data Science

Covers types of data, ‘cleaning’ organizing data and creating new data and handling missing data. Includes modeling cross-sectional and time series data and Bayesian decision methods An emphasis throughout the course is data graphics. Students will use the statistical software, R.

Credits

4

Cross Listed Courses

HON-309

Prerequisite

Required: Math 118 or 227 or equivalent

Course Type

QL