STAT 1602
Introduction to Data Science with Python
Course Description
Disciplines
Quantification, Computation & Data Analysis
This course provides an introduction to various topics in data science using the Python programming language. The course will start with the basics of Python, and apply them to data cleaning, merging, transformation, and analytic methods drawn from data science analysis and statistics, with an emphasis on applications. No prior knowledge of statistics, data science, or programming is required.
Instructors
Chang Li
Spring 2026
mowe 5:00pm - 6:15pm
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Rating
—
Difficulty
3.85
GPA
Hang Nguyen
Spring 2026
mowe 8:00am - 9:15am
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Rating
—
Difficulty
3.38
GPA
Kyle Peterson
Spring 2026
tuth 9:30am - 10:45am
4.7
Rating
2.0
Difficulty
3.90
GPA
Jeffrey Holt
Fall 2025
TuTh 9:30am - 10:45am
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Rating
—
Difficulty
3.72
GPA
Faculty Staff
Spring 2025
MoWe 8:00am - 9:15am
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Rating
—
Difficulty
—
GPA
To Announced
Fall 2024
MoWe 5:00pm - 6:15pm
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Rating
—
Difficulty
—
GPA
Hyunjae Cho
Summer 2024
Sa 10:30am - 12:45pmMoTuWeThFr 10:30am - 12:45pm
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Rating
—
Difficulty
—
GPA
Harsimran Somal
Spring 2024
TuTh 5:00pm - 6:15pm
4.6
Rating
1.3
Difficulty
3.84
GPA
Taylor Brown
January 2024
MoTuWeThFr 10:00am - 3:00pm
2.8
Rating
3.2
Difficulty
3.72
GPA
Sydney Campbell
Summer 2023
MoTuWeThFr 10:30am - 12:45pm
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Rating
—
Difficulty
—
GPA
Richard Ross
Spring 2023
MoWe 8:00am - 9:15am
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Rating
—
Difficulty
3.89
GPA
- -
Fall 2022
TuTh 3:30pm - 4:45pm
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Rating
—
Difficulty
—
GPA
Jesse Helman
Fall 2022
TuTh 5:00pm - 6:15pm
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Rating
—
Difficulty
—
GPA