STATS 21
Python and Other Technologies for Data Science
Course statistics
- Predicted GPA
- 3.85
- n = 582 · 8 terms · ± 0.022
- A range
- 88%
- of letter grades
- Taken P/NP
- 0%
- 100% 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.
- 7322W
- 6922S
- 6922F
- 8323S
- 6823F
- 7424S
- 6724F
- 8325S
Peak 83
Most recent
83
in 25S
8 terms on record
Grade distribution
- A+ 62 · 10.6%
- A 412 · 70.2%
- A- 40 · 6.8%
- B+ 29 · 4.9%
- B 26 · 4.4%
- B- 5 · 0.9%
- C+ 1 · 0.2%
- C 3 · 0.5%
- C- 1 · 0.2%
- D 1 · 0.2%
- F 2 · 0.3%
- P 2 · 0.3%
- I 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 |
|---|---|---|---|---|---|
| CHEN, MILES SATORI | 3.79 | 3.79 | 347 | 5 | 83% |
| LEW, VIVIAN | 3.94 | 3.95 | 235 | 3 | 96% |
“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
- 22W 3.75 n=73
- 22S 4.00 n=69
- 22F 3.92 n=67
- 23S 3.93 n=83
- 23F 3.81 n=68
- 24S 3.78 n=74
- 24F 3.69 n=65
- 25S 3.93 n=83