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Last updated: Wed Mar 4 2026, 15:38

Syllabus

Welcome to the course website for STA 230, Introduction to Data Science. To begin, you can find the course syllabus linked below:

You can locate course content by scrolling, or by using the navigation bar in the upper left.

Ahead on your labs? Try working through the 1st Edition of Advanced R, an excellent resource for learning R as a programming language rather than simply a tool for data analysis


Course Materials

Labs

Date Slides Lab Due Date
Tue 1/19 Introduction Introduction 1/29 at 10pm
Thur 1/21 ggplot (see next)
Tue 1/27 ggplot2 (cont.) 2/3 at 10pm
Thur 1/29 dplyr 2/5 at 10pm
Tue 2/3 tidyr
Thur 2/5 Pivot Visual Aid tidyr cont. 2/10 at 10pm
Tue 2/10 Joins Joins
Thur 2/12 Joins 2/17 at 10pm
Thur 2/19 Strings and Regex Strings + Regex
Tue 2/24 Continue Strings
Thur 2/26 Date and Time
Tue 3/3 Date and Time Date and Time
Thur 3/5 Course Survey!
Spring Break

On deck:

  • Missing values
  • Files and directories
  • Functions and functionals
  • Web scrapping and API
  • SQL
  • Shiny

Homework

Reading Assignment Due Date
R4DS Introduction, Ch 1-3 Homework 1 Thur 1/29 at 10pm
R4DS 4, 5, 19 Homework 2 Thur 2/12 at 10pm
R4DS 12-18 Homework 3 Thur 3/5 at 10pm