ST 295: Introduction to Foundations of Data Science with R

Dr. Elijah Meyer

This page contains an outline of the topics, content, and assignments for the semester. Note that this schedule will be updated as the semester progresses and the timeline of topics and assignments might be updated throughout the semester.

week	dow	date	topic	prepare	slides	ae_sa	hw	hw_sa	q_sa	exam	notes
1	Tu	7 January	Welcome to ST295
	Tr	9 January	Meet the toolkit
	Fr	10 January
2	Tu	14 January	Quarto, R, and summary stats
	Tr	16 January	ggplot2 layers I + tidy code
	Fr	17 January
3	Tu	21 January	ggplot2 layers II
	Tr	23 January	Visualizing various types of data
	Fr	24 January
4	Tu	28 January	Grammar of data wrangling
	Tr	30 January	Grammar of data wrangling II
	Fr	31 January
5	Tu	4 February	Working with multiple data frames
	Tr	6 February	Tidying data
	Fr	7 February
6	Tu	11 February	Wellness Day (No classes)
	Tr	13 February	Tidying data II
	Fr	14 February
7	Tu	18 February	Review material
	Tr	20 February	Snow Day
	Fr	21 February
8	Tu	25 February	In-class Exam 1
	Tr	27 February	Importing + recoding data & Group work with GitHub
	Fr	28 February
9	Tu	4 March	Visualizing time series data I								Drop/Revision Deadline
	Tr	6 March	Visualizing time series data II
	Fr	7 March
10	Tu	11 March	Spring Break (No classes)
	Tr	13 March	Spring Break (No classes)
	Fr	14 March
11	Tu	18 March	Visualizing qualitative data I
	Tr	20 March	Visualizing qualitative data II
	Fr	21 March
12	Tu	25 March	Intro to regression + phrasing research questions
	Tr	27 March	Models with a single predictor
	Fr	28 March
13	Tu	1 April	Intro to multiple linear regression
	Tr	3 April	Multiple linear regression I
	Fr	4 April
14	Tu	8 April	Multiple linear regression II
	Tr	10 April	Multiple linear regression III
	Fr	11 April
15	Tu	15 April	Logistic Regression I
	Tr	17 April	Logistic Regression II
	Fr	18 April
16	Tu	22 April	Review material								Last day of classes
	Tr	24 April	(No classes)
	Fr	25 April
17	Tu	29 April
	W	30 April