EC ENGR M148
Introduction to Data Science
Course statistics
- Predicted GPA
- 3.86
- n = 596 · 4 terms · ± 0.022
- A range
- 90%
- of letter grades
- Taken P/NP
- 0%
- — of those passed
- D / F / W
- 0.5%
- incl. withdrawals
Sections in Fall 2026
Not offered in Fall 2026.
Enrollment history
Final enrollment per term, averaged across that term's sections. Four years deep, summer excluded. Per-section live curves are on each section page.
- 8722S
- 16923S
- 18124S
- 15925S
Peak 181
Most recent
159
in 25S
4 terms on record
Grade distribution
- A+ 228 · 38.3%
- A 241 · 40.4%
- A- 67 · 11.2%
- B+ 34 · 5.7%
- B 13 · 2.2%
- B- 6 · 1.0%
- C+ 2 · 0.3%
- C 2 · 0.3%
- D 3 · 0.5%
Grey bars are non-letter outcomes — P/NP, S/U, incompletes. They are excluded from the GPA entirely rather than scored, because counting a P as a 4.0 would be a fabrication.
By instructor
| Instructor | Predicted | Raw | n | Terms | A range |
|---|---|---|---|---|---|
| DOLECEK, LARA | 3.86 | 3.86 | 596 | 4 | 90% |
“Predicted” is shrunk toward the course average, which is itself shrunk toward the department — so an instructor with a handful of students sits near the course mean rather than topping the list.
By term
- 22S 3.77 n=87
- 23S 3.73 n=169
- 24S 3.97 n=181
- 25S 3.93 n=159