MATH220L - Introduction to Data Analysis

4 Credit(s)

Liberal Arts
Dual listed as DATA 220L This course introduces the basic ideas and techniques of data science including: exploratory data analysis, experimental design and sampling; relationships between one and several variables including single and multiple regression and two-way tables; sampling distributions; inferential statistics for means, proportions, and regression coefficients; simple ANOVA. The course includes a computer lab using an appropriate high level statistical software package such as R.

Offered When: Every semester.
Prerequisite(s): Three years of high school mathematics or satisfactory performance on the Mathematics Placement Test