Meeting Schedule

1	Introduction / Software installation		Kitzes et al. ch. 0, 1
	Automating repetitive tasks	Intro to the command line	Buffalo Ch. 3 (Sakai)
2	Automating repetitive tasks	More command line	Buffalo Ch. 7 (Sakai)
3	Automating repetitive tasks	Shell scripts	Buffalo Ch. 7 cont.	Commenting a shell script
	Automating repetitive tasks	Finding things	Buffalo Ch. 7 cont.
4	High performance computing	Intro to the cluster
	Sharing and research transparancy	Git	Buffalo Ch. 5 (Sakai)
5	Collaboration	Git cont.	Buffalo Ch. 5 cont.	Share your git repo
	Big data and answerable questions	Discussion of your research	Buffalo Ch. 1
6	Coding for data analysis	Intro to R and RStudio	Buffalo Ch. 8
	Data frames	R: dplyr	Grolemund ch. 5, 16, 18
7	Tidy Data	R: dplyr	Grolemund ch. 12
	Data visualization	R: ggplot2	Grolemund ch. 2,3,28
	SPRING BREAK
8	Good data practice	R Markdown	Grolemund ch. 27	Exploratory analysis
	Relational data	R: dbplyr	Grolemund ch. 13
9	Data structures and complex data	Python: pandas	Vanderplas ch. 2-3
10	Automating repetitive tasks	Python: intro with logistic growth	Vanderplas: whirlwind
11	Pattern counting	Python: basics	Vanderplas ch. 1	Pattern counting
	Visualization	Python: matplotlib	Vanderplas ch. 4
12	Command line	Python: scripts and tests
	Making sure it’s right	Python: tests
13	Objects	Python: classes
	Review and work on projects			Complete data analysis