Skip to main content

STAT 1602

Introduction to Data Science with Python
Last taught: Spring 2026
4.7 Rating
2.0 Difficulty
3.90 GPA

Instructor
4.0
Enjoyability
5.0
Difficulty
2.0
Recommend
5.0

Reading
0.0
Writing
0.0
Group Work
0.0
Other
2.0

Total Hours / Week

Hours 2.0

Grade Distribution

A+: 8 (26.7%)A: 16 (53.3%)A-: 3 (10.0%)B+: 3 (10.0%)
Average GPA 3.90
Students Measured 30

1 Review

Add Review
Anonymous Spring 2026
4.67 Average

Peterson makes the class as straightforward as possible. The class is composed of weekly homework, weekly group labs/practice, a midterm, and a final. Peterson is nearly always available for homework help. You get unlimited attempts on labs to get a perfect score. The homework and labs provide plenty of practice for the exams. For each exam, you get a two-sided cheat sheet. He also offers extra-credit opportunities throughout the semester, especially before exams.

Instructor 4.0
Enjoyability 5.0
Recommend 5.0
Difficulty 2.0
Hours/Week 2.0