STAT 3250
Data Analysis with Python
Course Description
Prerequisites
A prior course in statistics and a prior course in programming
Disciplines
Quantification, Computation & Data Analysis
This course provides an introduction to data analysis using the Python programming language. Topics include using an integrated development environment; data analysis packages numpy, pandas and scipy; data loading, storage, cleaning, merging, transformation, and aggregation; data plotting and visualization. Prerequisite: A prior course in statistics and a prior course in programming.
Instructors
Harsimran Somal
Fall 2026
mowe 6:30pm - 7:45pm
4.2
Rating
2.3
Difficulty
3.90
GPA
Taylor Brown
Spring 2026
mowe 3:30pm - 4:45pm
3.7
Rating
2.3
Difficulty
3.52
GPA
Jeffrey Holt
Spring 2024
MoWe 2:00pm - 3:15pm
4.0
Rating
3.0
Difficulty
3.73
GPA
To Announced
Fall 2023
MoWe 2:00pm - 3:15pm
—
Rating
—
Difficulty
—
GPA
James Lee
Spring 2023
MoWe 2:00pm - 3:15pm
3.3
Rating
3.0
Difficulty
3.64
GPA
- -
Fall 2022
MoWe 3:30pm - 4:45pm
—
Rating
—
Difficulty
—
GPA
Faculty Staff
Fall 2017
—
Rating
—
Difficulty
—
GPA