Statistical Computing

STA 323D

Note: Prerequisites for STA 323 have been updated for Fall 2024. If you meet the updated prerequisites listed below and are having difficulty enrolling in the course for Fall 2024, please email dus@stat.duke.edu for a permission number.

Updated prerequisites for Fall 2024 and beyond:

  • Required prerequisite: STA 199L or 198L.
  • Recommended pre- or corequisites: STA 210L or 221L and STA 240L or 230 or 231. 

We plan to offer this course every fall and spring. 


 

A practical introduction to statistical programming focusing on the R programming language. Students will engage with the programming challenges inherent in the various stages of modern statistical analyses including everything from data collection/aggregation/cleaning to visualization and exploratory analysis to statistical model building and evaluation. This course places an emphasis on modern approaches/best practices for programming including source control, collaborative coding, literate and reproducible programming, and distributed and multicore computing. Prerequisite: Statistical Science 210 and Statistical Science 240L or 230 or 231.

Prerequisites

Prerequisite: Statistical Science 210 and Statistical Science 240L or 230 or 231

Curriculum Codes
  • R
  • QS
Typically Offered
Spring Only