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ACTG 392

Data Analytics for Accountants

Accounting

3 credit hoursUsually offered: Fall, Spring
Avg GPA
3.17
Easiness
3.10
Total regs
389

Grade Distribution

Fall 2024–Spring 2026 · Percentages use A–F and W outcomes

Avg GPA
3.17
A
39.1%
152
B
44.2%
172
C
12.9%
50
D
2.6%
10
F
0.5%
2
W
0.8%
3
A–F + W
389
Other outcomes
0
All registrations
389

Quick Insights

Avg GPA
3.17
Easiness
3.10
C or better
96.9%
Among A–F outcomes
D or better
99.5%
Among A–F outcomes
Withdrawal rate
0.8%
Among A–F and W outcomes
Most common grade
B
Letter grades only
Outcomes counted
389
A–F and W outcomes

ACTG 392 by Professor

Ranked by historical GPA for 2024SP–2026SP · A–F outcomes only · minimum 20 graded outcomes

#1
Chen, Jason Victor
3.33
RMP
4.4
10 reviews
Graded
150
Total regs
150
#2
Schenke, Kevin R
3.16
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Chen, Jason Victor

Top GPA signal with 150 grades.

Avg GPA 3.33Open profile →
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About This Class

Provides students with experience in accounting data analytics thinking, key terminology, and hands on experience with analytics tools and techniques. Course Information: Extensive computer use required. Prerequisite(s): Grade of C or better in ACTG 210 and Grade of C or better in ACTG 211 and IDS 270 .

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Methodology
RMP
NR
Graded
67
Total regs
68
#3
Gelsomin, Eric
3.09
RMP
4.5
4 reviews
Graded
169
Total regs
171
#
Professor
Avg GPA
Student rating
Graded
Total regs
  • 1
    Chen, Jason Victor
    3.33
    4.4 (10)
    150
    150
  • 2
    Schenke, Kevin R
    3.16
    NR
    67
    68
  • 3
    Gelsomin, Eric
    3.09
    4.5 (4)
    169
    171
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