DATA SCIENCE MODELING II

Name: DATA SCIENCE MODELING II
Availability: OutOfStock
Rating: 3.8 (2627 reviews)

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.

Prerequisites

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

Satisfies

ISYE 649 , BMI/STAT 620 , GENBUS 656 , ISYE 445 , ACTSCI 652 , ACTSCI 650 , STAT 349 , STAT 351 , ISYE 562 , COMPSCI/STAT 471 , ECON 570 , STAT 575 , ACTSCI 654 , STAT 456 , ACTSCI 657 , ACTSCI 300 , ACTSCI 655 , ECON 400 , ME 536 , STAT 433 , COMPSCI 566 , STAT 461 , CIVENGR 516 , STAT 443 , COMPSCI 541 , ISYE 625 , ACTSCI 640 , STAT 411 , ECON 695 , and STAT 421

Credits

Not Reported

Offered

Not Reported

Grade Point Average

2.94

-3.98% from Historical

Completion Rate

94.69%

-1.8% from Historical

A Rate

27.21%

-8.7% from Historical

Class Size

452

54.85% from Historical

Cumulative Grade Distribution

Instructors (2026 Summr)

Sorted by ratings from Rate My Professors

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