STAT 1601

Introduction to Data Science with R

Course Description

Discipline(s): Quantification, Computation & Data Analysis

This course provides an introduction to the process of collecting, manipulating, exploring, analyzing, and displaying data using the statistical software R. The collection of elementary statistical analysis techniques introduced will be driven by questions derived from the data. The data used in this course will generally follow a common theme. No prior knowledge of statistics, data science, or programming is required.


  • Kristen Roland

     Rating

    4.00

     Difficulty

    2.45

     GPA

    3.86

     Sections

    4

    Last Taught

    Spring 2025

  • Maria Ferrara

     Rating

     Difficulty

     GPA

     Sections

    Last Taught

    Summer 2024

  • Richard Ross

     Rating

     Difficulty

     GPA

    3.44

     Sections

    Last Taught

    January 2024

  • Taylor Brown

     Rating

    4.00

     Difficulty

    2.00

     GPA

    3.81

     Sections

    Last Taught

    Fall 2023

  • Prince Afriyie

     Rating

    4.44

     Difficulty

    2.39

     GPA

    3.50

     Sections

    Last Taught

    Summer 2023

  • Evan Bagley

     Rating

    4.20

     Difficulty

    1.47

     GPA

    3.82

     Sections

    Last Taught

    Spring 2023

  • - -

     Rating

     Difficulty

     GPA

     Sections

    Last Taught

    Spring 2023

  • To Announced

     Rating

     Difficulty

     GPA

     Sections

    Last Taught

    Spring 2023

  • Connor Celum

     Rating

    5.00

     Difficulty

    2.00

     GPA

     Sections

    Last Taught

    Summer 2022