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DATA SCIENCE COMPUTING PROJECT

STAT 405
Course Description

The development of tools necessary for collecting, managing, and analyzing large data sets. Examples of techniques and programs used include Linux, R, distributed computing, text editor(s), git/github, and other related tools. Work in teams to research, develop, write, and make presentations related to a variety of data analysis projects.

Prerequisites

(STAT 240 or STAT 303 ) and (COMPSCI 200 , COMPSCI 220 , COMPSCI 300 , or placement into COMPSCI 300 ), or graduate/professional standing

Satisfies

This course does not satisfy any prerequisites.

Credits

Not Reported

Offered

Not Reported

Grade Point Average
3.65

5.3% from Historical

Completion Rate
100%

2.84% from Historical

A Rate
67.27%

26.68% from Historical

Class Size
55

13.79% from Historical

Cumulative Grade Distribution

Instructors (2026 Summr)

Sorted by ratings from Rate My Professors

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