Schedule

Week	Date	Les-son	Theme	Topic	Lesson video	Slides	TB 1	TB 2
1	09/28	1	Course info	Welcome	07min		Intro
		2	Course info	Course logistics	26min
		3	R Basics	Download + Intro to R & Rstudio	07min			3.4-3.5
		4	R Basics	Basics	06min		2.1	8.2
		5	Rigor & Reproducibility	Folder and file organization	16min
		6	Rigor & Reproducibility	Quarto and .qmd’s	23min		28
					Total: 85min
	10/04			Practice 1 due
2	10/05	7	R Basics	R scripts	05min		6.1	3.8
		8	Best Practices in R	Comments	05min		2.2
		9	Best Practices in R	Common errors	14min			47.2
		10	Course info	Introduction to HRS dataset	04min
		11	R Basics	Packages	09min			3.7
		12	Rigor & Reproducibility	R projects and working directories	22min		6.2.3-6.2.4	6
					Total: 59min
	10/11			Practice 2 due
3	10/12	13	R Basics	Functions	13min		2.4	3.6
		14	R Basics	Objects	14min			3.10
		15	Best Practices in R	Getting help	17min		8
		16	R Basics	Piping	09min		3.4, 4.3	8.1
		17	R Basics	Import and export	11min		7	7
					Total: 64min
	10/18			Practice 3 Due
	10/18			Lab 1 due
4	10/19	18	R Basics	Key operators and functions	17min		12.3	8.2
		19	R Basics	Tidy data	07min		5.2	4.1
		20	Data transformation	Intro to data transformations and summarizations	04min		3.1
		21	Data transformation	Data transformation: rows	16min		3.2	13.7-13.8
		22	Data transformation	Data transformation: columns	14min		3.3
					Total: 58min
	10/25			Practice 4 due
5	10/26	23	Data transformation	Data transformations: advanced	28min		12.2, 16	11
		24	Data summarization Data visualization	Missing data: summarization and visualization	25min			20.4
		25	Data transformation	Missing data: transformations	20min
					Total: 73min
	11/01			Practice 5 due
	11/08			Lab 2 due
6	11/02	26	Data summarization	Data summarization: intro	04min			17
		27	Data summarization	Data summarization: quick summaries	14min			17
		28	Data summarization	Data summarization: tables	16min			17
		29	Data summarization	Data summarization: grouped summaries	13min		3.5	17
					Total: 47min
	11/08			Practice 6 due
7	11/09	30	Data visualization	Data visualization: intro to ggplot	18min		1.1-1.3	30.2-30.5
		31	Data visualization	Data visualization: basic plotting	23min		9.2-9.3	30.4-30.5
		32	Data visualization	Data visualization: design choices	25min		1.5	30.6-30.10
					Total: 66min
	11/15			Practice 7 due
	11/15			Lab 3 due
8	11/16	33	Rigor & Reproducibility	Quarto and .qmd’s: revisited	25min		28
					Total: 25min
	11/22			Practice 8 due
9	11/23	34	Data transformation	Lengthening data	12min		5.3
		35	Data transformation	Widening data	10min		5.4
					Total: 22min
	11/29			Lab 4 due
10	11/30		Course info	Project help
11	12/07			No lessons this week
	12/09			Final Project due