TIM 147: Data Mining for Bus
University of California, Santa Cruz
Introduces concepts, approaches, tools, methods for extracting useful knowledge and business value from data for business applications. Covers predictive models, descriptive models, model fitting, model overfitting, complexity, visualization, text mining, association mining, analytical thinking. Other topics may include social network mining, data science and business strategy. Students cannot receive credit for this course and CSE 145.
Average GPA: 3.34
Grade distribution records: 52 students across 3 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 2 | 3.8% |
| A | 14 | 26.9% |
| A- | 9 | 17.3% |
| B+ | 4 | 7.7% |
| B | 8 | 15.4% |
| B- | 3 | 5.8% |
| C+ | 3 | 5.8% |
| C | 3 | 5.8% |
| C- | 1 | 1.9% |
| P | 3 | 5.8% |
| NP | 1 | 1.9% |
| W | 1 | 1.9% |
Based on 52 student grade records across 3 terms and 1 professor.
Instructors
- Yi Zhang 52 students, Average GPA 3.34