STATS 147
Data Technologies for Data Scientists
Course statistics
- Predicted GPA
- 3.98
- n = 216 · 4 terms · ± 0.036
- A range
- 100%
- of letter grades
- Taken P/NP
- 0%
- — of those passed
- D / F / W
- 0.0%
- 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.
- 3222W
- 5223W
- 3324W
- 3425W
Peak 52
Most recent
34
in 25W
4 terms on record
Grade distribution
- A+ 9 · 4.2%
- A 204 · 94.4%
- A- 3 · 1.4%
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 |
|---|---|---|---|---|---|
| TSIANG, MICHAEL | 3.99 | 4.00 | 216 | 4 | 100% |
“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 4.00 n=32
- 23W 4.00 n=52
- 24W 4.00 n=65
- 25W 3.99 n=67