STAT 1602

Introduction to Data Science with Python

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Course Description

Discipline(s): 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.


  • Taylor Brown

     Rating

     Difficulty

    3.17

     GPA

    3.72

     Sections

    Last Taught

    January 2024

  • Harsimran Somal

     Rating

     Difficulty

    1.33

     GPA

    3.84

     Sections

    Last Taught

    Spring 2024

  • Jeffrey Holt

     Rating

     Difficulty

     GPA

    3.72

     Sections

    3

    Last Taught

    Fall 2025

  • Faculty Staff

     Rating

     Difficulty

     GPA

     Sections

    Last Taught

    Spring 2025

  • Jesse Helman

     Rating

     Difficulty

     GPA

     Sections

    Last Taught

    Fall 2022

  • Richard Ross

     Rating

     Difficulty

     GPA

    3.89

     Sections

    Last Taught

    Spring 2023

  • - -

     Rating

     Difficulty

     GPA

     Sections

    Last Taught

    Fall 2022

  • To Announced

     Rating

     Difficulty

     GPA

     Sections

    Last Taught

    Fall 2024

  • Sydney Campbell

     Rating

     Difficulty

     GPA

     Sections

    Last Taught

    Summer 2023

  • Hyunjae Cho

     Rating

     Difficulty

     GPA

     Sections

    Last Taught

    Summer 2024