Probability and Statistics for Data Science
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Overview
Subject area
MAT
Catalog Number
409
Course Title
Probability and Statistics for Data Science
Department(s)
Description
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.
Typically Offered
Fall, Spring
Academic Career
Undergraduate
Liberal Arts
Yes
Credits
Minimum Units
4
Maximum Units
4
Academic Progress Units
4
Repeat For Credit
No
Components
Name
Lecture
Hours
5
Requisites
016658