DATA SCIENCE MODELING II

STAT 340

Course Description

Teaches how to explore, model, and analyze data using R. Topics include basic probability models; the central limit theorem; Monte Carlo simulation; one- and two-sample hypothesis testing; Bayesian inference; linear and logistic regression; ANOVA; the bootstrap; random forests and cross-validation. Features the analysis of real-world data sets and the communication of findings in a clear and reproducible manner within a project setting.

Prerequisties

(MATH 211 , MATH 217 , or MATH 221 ) and STAT 240

Satisfies

ECON 400 , GENBUS 656 , STAT 433 , ACTSCI 650 , STAT 411 , COMPSCI 541 , ACTSCI 654 , ACTSCI 300 , BMI/STAT 620 , ACTSCI 655 , COMPSCI/STAT 471 , STAT 456 , ACTSCI 652 , STAT 443 , STAT 575 , ACTSCI 640 , STAT 421 , STAT 349 , COMPSCI 566 , ECON 570 , ACTSCI 657 , STAT 351 , CIVENGR 516 , ISYE 649 , ME 536 , ECON 695 , ISYE 562 , ISYE 625 , and STAT 461

Credits

Offered

Not Applicable

Grade Point Average

2.98

-3.31% from Historical

Completion Rate

95.63%

-1.19% from Historical

A Rate

26.46%

-12.81% from Historical

Class Size

412

51.54% from Historical

Instructors (2025 Fall)

Sorted by ratings from Rate My Professors

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