MAT 186 - Introduction to Data Science

Credits: 4
Lecture Hours: 4
Lab Hours: 0
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 component using the software package R.
Prerequisite(s): Placement level 4 (see DCC Math Placement Table) or MAT 184 with a grade of C or better