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.
Cross Listed Courses
HON-309
Prerequisite
Required: Math 118 or 227 or equivalent
Course Type
QL