CS 105: DATA ANALYSIS METHODS
University of California, Riverside
4 Units, Lecture, 3 hours; laboratory, 2 hours; individual study, 1 hour. Prerequisite(s): CS 009B with a grade of C- or better or CS 010B with a grade of C- or better; restricted to class level standing of sophomore, junior, senior, or masters. An introduction to fundamental concepts and methods in data analysis and visualization essential to a variety of data science tasks. Designed to provide preparation for the data science major and for advanced courses in data analysis and applications of data science.
Average GPA: 2.96
Grade distribution records: 1,708 students across 24 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 74 | 4.3% |
| A | 255 | 14.9% |
| A- | 235 | 13.8% |
| B+ | 184 | 10.8% |
| B | 280 | 16.4% |
| B- | 185 | 10.8% |
| C+ | 140 | 8.2% |
| C | 147 | 8.6% |
| C- | 62 | 3.6% |
| D+ | 32 | 1.9% |
| D | 30 | 1.8% |
| D- | 23 | 1.3% |
| F | 23 | 1.3% |
| NP | 6 | 0.4% |
| S | 6 | 0.4% |
| W | 26 | 1.5% |
Based on 1,708 student grade records across 24 terms and 2 professors.
Instructors
- Elena Strzheletska 953 students, Average GPA 2.97
- Mariam Salloum 120 students, Average GPA 3.71