STAT 3250

Data Analysis with Python

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Course Description

Pre-Requisite(s): A prior course in statistics and a prior course in programming
Discipline(s): Quantification, Computation & Data Analysis

This course provides an introduction to data analysis using the Python programming language. Topics include using an intergrated development environment; data analysis packages numpy, pandas and scipy; data loading, storage, cleaning, merging, transformation, and aggregation; data plotting and visualization.


  • Jeffrey Holt

     Rating

     Difficulty

    3.00

     GPA

    3.73

     Sections

    Last Taught

    Spring 2024

  • James Lee

     Rating

     Difficulty

    3.00

     GPA

    3.64

     Sections

    Last Taught

    Spring 2023

  • Taylor Brown

     Rating

     Difficulty

    2.33

     GPA

    3.52

     Sections

    Last Taught

    Summer 2023

  • Harsimran Somal

     Rating

     Difficulty

    2.00

     GPA

    3.90

     Sections

    1

    Last Taught

    Fall 2025

  • Faculty Staff

     Rating

     Difficulty

     GPA

     Sections

    Last Taught

    Fall 2017

  • - -

     Rating

     Difficulty

     GPA

     Sections

    Last Taught

    Fall 2022

  • To Announced

     Rating

     Difficulty

     GPA

     Sections

    Last Taught

    Fall 2023