MATH 1190 - Introduction to Data Science

3 Credit(s) | $8.25 Fee

This course introduces the analysis and visualization of data using a high-level computer programming language (e.g., R). It emphasizes conceptual understanding of the data science lifecycle, which includes data collection and organization, sampling and sampling bias, exploratory data analysis and visualization, statistical inference, and prediction. Inference and prediction topics include confidence intervals, hypothesis tests with one and two samples, chi-square tests, ANOVA, and linear regression. (Fall, Spring) [Graded (Standard Letter)]

Prerequisite(s): MATH 1010 or MATH 1031 or adequate test score within the last two (2) years - Prerequisite Min. Grade: C
Prerequisite Test (Min. Score): ACT Math Subscore (21) or ALEKS PPL (40)
General Education Category: Quantitative Literacy