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Dibs Fall 2026

STATS 15

Introduction to Data Science

Lecture, three hours; discussion, one hour; computer laboratory, one hour. Preparation: three years of high school mathematics. Not open to students with credit for course 10, 12, 13, or former course 10H, 11, or 14. Introduction to data science, including data management, data modeling, data visualization, communication of findings, and reproducible work. P/NP or letter grading.

Course statistics

Predicted GPA
3.67
n = 297 · 7 terms · ± 0.031
A range
77%
of letter grades
Taken P/NP
4%
100% of those passed
D / F / W
0.7%
incl. withdrawals

Sections in Fall 2026

Sections offered, with live enrollment and predicted GPA
Section Status Enrolled Seat risk Meets Instructor Predicted GPA
Lec 1 Open
31 of 59
53% full
 could fill MW 12:30pm-1:45pm Zes, D.A.
3.67n=297 · course average

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.

  • 3321F
  • 6522F
  • 4723S
  • 2523F
  • 3924S
  • 6024F
  • 4025S
Enrolment by term: 21F 33, 22F 65, 23S 47, 23F 25, 24S 39, 24F 60, 25S 40
Peak 65 Most recent 40 in 25S 7 terms on record

Grade distribution

  • A+ 40 · 12.9%
  • A 148 · 47.9%
  • A- 42 · 13.6%
  • B+ 15 · 4.9%
  • B 23 · 7.4%
  • B- 14 · 4.5%
  • C+ 3 · 1.0%
  • C 9 · 2.9%
  • C- 1 · 0.3%
  • D 1 · 0.3%
  • D- 1 · 0.3%
  • P 12 · 3.9%

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 3.66 3.65 180 4 75%
GOULD, ROBERT L 3.71 3.71 117 3 81%

“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