STAT 204: Stat Data Analysis
University of California, Santa Cruz
Presents tools for exploratory data analysis (EDA) and statistical modeling in R. Topics include numerical and graphical tools for EDA, linear and logistic regression, ANOVA, PCA, and tools for acquiring and storing large data. No R knowledge is required. Enrollment is restricted to graduate students and by permission of instructor. (Formerly AMS 204.)
Average GPA: 3.67
Grade distribution records: 98 students across 6 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 7 | 7.1% |
| A | 40 | 40.8% |
| A- | 12 | 12.2% |
| B+ | 7 | 7.1% |
| B | 7 | 7.1% |
| B- | 3 | 3.1% |
| C+ | 2 | 2.0% |
| D | 1 | 1.0% |
| S | 17 | 17.3% |
| W | 2 | 2.0% |
Based on 98 student grade records across 6 terms and 3 professors.
Instructors
- Raquel Prado 50 students, Average GPA 3.52
- Paul Parker 28 students, Average GPA 3.75
- Marcela Alfaro Cordoba 20 students, Average GPA 3.96