Schedule

Course Schedule
subject to change
Week
	Topic
	Tools
		
1
	Course Introduction
	Scripts; R and RStudio
		
2
	Reproducible Data Analyses
	Filesystems; Version Control; Git
		
3
	Data Structure & Wrangling
	Markup; Data Formats
		
4
	Tidy Data
	Tidyverse
		
5
	Flow Control
	Loops
		
6
	Data Visualization I
	Grammar of Graphics; ggplot2
		
7
	Data Visualization II
	ggplot2
		
8
	Midterm Exam (Thursday, October 16)
			
9
	Social Networks & Network Data
	iGraph; statnet
		
10
	Census Data
	tidycensus
		
11
	Maps & GIS I
	sf; tigris
		
12
	Maps & GIS II
	mapgl; mapbox; osm
		
13
	Accessing & Using External Data
	SQL, other APIs
		
14
	Project Work
			
15
	Project Presentations
			
F
	Finals Week (Project Due)

—————
Advanced Topics (if we have time)
Week
	Topic
	Tools
	Reading
	
16
	Text Data & Data Scraping
			
17
	Web Apps & Visualization
			
18
	AI Pair Programming & “Vibe Coding”
			
19
	Local LLMs