STAT 315: STATISTICS FOR DATA SCIENCE
Fall 2026 · Section 001 · CRN 11558
An introduction to mathematical statistics and computation for applications to data science. Topics include probability, random variables expectation, sampling distributions, estimation, confidence intervals, hypothesis testing and regression. A weekly lab will cover the statistical package, R, and data projects. Cross-list: DSCI 301 . Recommended Prerequisite(s): MATH 212 . Mutually Exclusive: Cannot register for STAT 315 if student has credit for ECON 307 / STAT 310 .
- Credits
- 4
- Instructors
- Gina Pizzo