COMM 187: DATA SCIENCE COMM
University of California, Santa Barbara
We are generating massive amounts of data in our daily digital lives. The a bility to understand this data, process it, interpret it, visualize it, and communicate it is an increasingly valuable skill today. These data analyti cal techniques allow us to make sense of people's behavior in many contexts , like when they communicate online, or when they engage in shopping and co mmerce, or when they vote in elections. In this class, we will learn some b asic methods of conducting Data Science using the Python programming langua ge and discuss important aspects of data ethics, social impact of technolog y, and data storytelling.
Average GPA: 3.86
Grade distribution records: 290 students across 5 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 49 | 16.9% |
| A | 173 | 59.7% |
| A- | 44 | 15.2% |
| B+ | 8 | 2.8% |
| B | 11 | 3.8% |
| B- | 1 | 0.3% |
| C+ | 1 | 0.3% |
| C | 2 | 0.7% |
| D- | 1 | 0.3% |
Based on 290 student grade records across 5 terms and 2 professors.
Instructors
- Pandey K 278 students, Average GPA 3.88
- Overbye H E 12 students, Average GPA 3.43