Schedule

• Schedule is subject to change.
• Links have been added to all weeks, but weeks we have not covered yet will have broken links.

Week	Date	Topics
1	Th 01/08	Introduction to course/expectations, Intro to R/RStudio, Functions, Vectors, Data Types
2	Th 01/15	Loading Data, data.frames, and ggplot2
		HW 1 due
3	Th 01/22	dplyr: subsetting using filter()/select(), more ggplot: themes, scales, facets
		HW 2 due
4	Th 01/29	dplyr: mutate(), across(), case_when(), factors, summarize() and group_by(); ggplot: boxplots, scales
		HW 3 due
5	Th 02/05	Merging multiple datasets; cleaning & reshaping data
		HW 4 due
	Th 02/05	Take Home Midterm Assigned
6	Th 02/12	Start with your goal: more data wrangling
		HW 5 due
7	Th 02/19	Customizing tables, adding and reordering factors, and more ggplot
		HW 6 due
	Su 02/22	Take home Midterm due (Sunday)
8	Th 02/26	Creating functions and working with lists
		HW 7 due
9	Th 03/05	Iteration
		HW 8 due
10	Tu 03/10	Final Exam Assigned (Tuesday)
	Th 03/12	More purrring
		HW 9 due
11	Th 03/19	No Class, Office Hour
		HW 10 due
	Fri 03/20	Final Exam Due (Friday 5pm end of term)