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UIChicagoUIChicago
CoursesProfessors
My SchoolOpenSparky AI
STAT 385

Elementary Statistical Techniques for Machine Learning and Big Data

Math, Statistics, & Comp Scnc

Avg GPA
3.01
Easiness
2.70
Total regs
310

Grade Distribution

Based on all available term-level grade data for this course

Avg GPA
3.01
A
37.4%
116
B
42.9%
133
C
9.7%
30
D
3.2%
10
F
1.9%
6
W
4.8%
15
Visual total
310
Other
0
Total regs
310

Quick Insights

Avg GPA
3.01
Easiness
2.70
Pass rate
93.2%
Using A, B, C, D as passing
Withdrawal rate
4.8%
Based on visible distribution
Most common grade
B
Students counted
310
A through F plus W
Syllabus

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STAT 385 by Professor

Ranked highest to lowest GPA — using A, B, C, D, and F outcomes only

#1
Zhong, Pingshou
3.34
Graded
119
Total regs
122
#2
Embers, Dale Gene
3.29
Graded
51
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Total regs
53
#
Professor
Avg GPA
Graded
Total regs
  • 1
    Zhong, Pingshou
    3.34
    119
    122
  • 2
    Embers, Dale Gene
    3.29
    51
    53