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Last updated: Mon Apr 27 2026, 07:23


Syllabus

Welcome to the course website for STAT 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.

Please note: material will not be posted until we’ve reached that point in the course.

Lab Agenda

Date Lab Due Date
Fri 1/23 - Wed 1/28 Lab 1 – Intro to R Fri 1/30 at 10pm
Fri 1/30 - Fri 2/06 Lab 2 – Functions Sunday 2/08 at 10pm
Mon 2/09 - Fri 2/13 Lab 3 – DataViz with ggplot2 Sunday 2/15 at 10pm
Mon 2/16 - Fri 2/20 Lab 4 – Data Manipulations Sunday 2/22 at 10pm
Wed 2/25 - Mon 3/02 Lab 5 – Joins Friday 3/06 at 10pm
Wed 3/04 - Fri 3/06, Mon 3/23 Lab 6 – Data Processing (Strings) Sunday 3/22 at 10pm
Fri 3/27 - Mon 3/30 Lab 7 – Misleading Graphics Wednesday 4/01 at 10pm
Wed 4/01 - Friday 4/03 Lab 8 – SQL Basics Tuesday at 10pm
Mon 4/13 - Friday 4/17 Lab 9 – SQL Part 2 due Sunday 4/19 at 10pm
Mon 4/20 - Friday 4/25 Lab 10 – Stat Techniques Pt. 1 Sunday 4/26 at 10pm
Mon 4/27 - Friday 5/01 Lab 11 – Stat Techniques Pt. 2 Sunday 5/03 at 10pm

Homework Assignments

[Homework 1] (Intro R) due Fri 2/27 at 10pm

[Homework 2] (Functions) due Friday 3/06 at 10pm

[Homework 3] (GGplot) due Friday 3/20 at 10pm

[Homework 4] (Data Manipulation) due Friday 3/27 at 10pm (extended).

[Homework 5] (Data Processing) due Friday 4/10 at 10pm.

[Mid-semester Feedback] due Friday 4/17 at 10pm. This is not a graded assignment, but will earn you a token for thoughtful completion.

[Homework 6] (SQL and R) due Wed 4/29 at 10pm.

Midterm Projects

[Midterm 1] will be available on Gradescope Friday 3/27. It is an individual assignment. See the gradescope template for more information when posted. Due Friday 4/03 at 10pm.

[Midterm 2] instructions posted on Gradescope 4/08. You are allowed to choose your own group with 2-3 total students per group. You may work individually, but I do not advise this. Due Sunday 4/19 at 10pm.

Assigned Readings

Extra: More on Joins

[GGplot Cheat Sheet]

[Matching Plots] Courtesy of Instructor Will Rebelsky.

[String R Cheat Sheet]