MAT 409 — Probability&Stats for Data Sci
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 µ, p, and s, Goodness-of-fit test, ANOVA, linear and logistic regression.