MAT 409
Probability&Stats for Data Sci · 4 credits · Spring 2027
Requirements
Co-requisite: MAT 302
About this course
This course applies concepts of probability and statistics to large data sets using the R programming language for computation and data visualization. Topics include exploratory data analysis (both univariate and multivariate), probability and probability distributions (both discrete and continuous), hypothesis tests and confidence intervals for �, p, and s, Goodness-of-fit test, ANOVA, linear and logistic regression.
Seat status as of Oct 2, 6:33 PM ET. Seats can change between refreshes.
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