CMPSC 5B: INTRO DATA SCI 2
University of California, Santa Barbara
Students explore the data science lifecycle, including question formulation , data collection and cleaning, exploratory data analysis and visualization , statistical inference and prediction, and decision-making. The course foc us is on transforming and analyzing data; machine learning methods includin g regression, classification and clustering; principles behind data visuali zations; concepts of measurement error and prediction; and techniques for s calable data processing.
Average GPA: 3.53
Grade distribution records: 221 students across 8 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 28 | 12.7% |
| A | 124 | 56.1% |
| A- | 17 | 7.7% |
| B+ | 13 | 5.9% |
| B | 10 | 4.5% |
| B- | 6 | 2.7% |
| C+ | 2 | 0.9% |
| C | 4 | 1.8% |
| C- | 1 | 0.5% |
| D+ | 2 | 0.9% |
| D | 3 | 1.4% |
| D- | 1 | 0.5% |
| F | 10 | 4.5% |
Based on 221 student grade records across 8 terms and 2 professors.
Instructors
- Solis S W 152 students, Average GPA 3.48
- Griessbaum N 69 students, Average GPA 3.66