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PPOL 105

Programming and Data Analysis for Public Policy I

Pub Policy, Mgmt, & Analytics

3 credit hoursUsually offered: Fall, Spring
Avg GPA
2.56
Easiness
1.60
Total regs
188

Grade Distribution

Fall 2022–Fall 2025 · Percentages use A–F and W outcomes

Avg GPA
2.56
A
38.9%
72
B
24.3%
45
C
14.1%
26
D
3.8%
7
F
6.5%
12
W
12.4%
23
A–F + W
185
Other outcomes
3
All registrations
188

Quick Insights

Avg GPA
2.56
Easiness
1.60
C or better
88.3%
Among A–F outcomes
D or better
92.6%
Among A–F outcomes
Withdrawal rate
12.4%
Among A–F and W outcomes
Most common grade
A
Letter grades only
Outcomes counted
185
A–F and W outcomes

PPOL 105 by Professor

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

No professor GPA data available for this course.
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Professor
Avg GPA
Student rating
Graded
Total regs
  • No professor GPA data available for this course.
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About This Class

Introduces students to key programming skills in Excel and R for data management, data visualization, and descriptive statistical analysis for policy making.

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