CNIT 62300 — Purdue grade distribution

Big Data Machine Learning

Fall 2017 – Spring 2026. 25 distinct course-period sections across 14 academic periods.

Estimated Section GPA
3.88
Student-weighted GPA
3.85
Minimum students (estimated enrollments)
338

Historical grades are estimates, not a measure of teaching quality or a prediction of future outcomes. GPA excludes withdrawals and other non-letter grades. Section GPA averages section-row GPAs equally; student-weighted GPA pools letter-graded enrollment. Read the data source and methodology.

Grade distribution

GradeEstimated count
A205
A-39
A+47
AU6
B17
B-2
B+11
C3
D1
I2
W5

Professors in this course

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