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.
3 terms
Other grades
University of California, Santa Cruz
TIM 147 at UCSC: average GPA 3.34 across 52 students. Grade distribution by term. Introduces concepts, approaches, tools, methods for extracting useful…
Average GPA: 3.34
Grade distribution records: 52 students across 3 terms.
| 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.
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