DATA SCIENCE WITH R

STAT 433

Course Description

Perform Data Science as an iterative (back and forth) process of four different types of activities (data collection, data wrangling, data analysis, communication). Traverse through the five requisite stances (scientist, coder, mathematician, methodologist, skeptic). Develop and hone a broad set of computational tools in R (but not the broadest) and a broad set of statistical/machine learning tools (but not the broadest). Focus on doing these with agility to make the coding "transparent" and serve the large goals of the project.

Prerequisties

(STAT 333 or STAT 340 ) and (MATH 320 , MATH 340 , MATH 341 , or MATH 375 ), graduate/professional standing, or declared in Statistics VISP

Satisfies

This course does not satisfy any prerequisites.

Credits

Not Reported

Offered

Not Reported

Grade Point Average

7.25% from Historical

Completion Rate

100%

4.27% from Historical

A Rate

100%

18.45% from Historical

Class Size

3.28% from Historical

Instructors (2025 Fall)

Sorted by ratings from Rate My Professors

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