Course Title
Foundations of Data Science
Course Description
This course provides a detailed approach to applied regression analysis and time series analysis including forecasting. The course will make extensive use of the R programming language and environment to perform computations and analysis of various regression and time series problems. Topics in regression analysis include simple linear regression, multiple regression, principles of model building, residual analysis, and special topics such as piecewise regression, weighted least squares, logistic regression, robust regression, nonparametric regression. Prerequisites: MATH-180 Statistical Methods, CSCI-181 Principles of Computer Science, and MATH-201 Linear Algebra. 4 SH.
Course Types
Standard (STAND)
Semester Hours
4