DATASCI 406
Computational Methods in Statistics and Data Science
This course introduces basic computational methods as needed in statistics. It is aimed primarily at undergraduate majors in Statistics and Data Science.
Prerequisites & course information
Linear Algebra (MATH 214 or 217 or 417) & Intro Programming (STATS 306 or DATASCI 306 or EECS 183 or EECS 280 or ENGR 101) & either (i) Intermediate Statistics (STATS 412 or STATS 426) or (ii) [Introductory Statistics (DATASCI 101 or STATS 206 or STATS 250 or STATS 280) & Probability (MATH/STATS 425 or 525)]. (Prerequisites enforced at registration.) (3). (BS). May not be repeated for credit.
Sources
- Course catalogue ↗2026-2027
- Catalogue entry ↗
Catalogue variants
- Computational Methods in Statistics and Data Science · 3 · Graduate credit