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
Quarto + 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
Project Talk + Visualizing qualitative data II
Fr
21 March
12
Tu
25 March
Intro to regression
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
Model Selection
Tr
10 April
Model Selection + Assumptions + Intro to Logistic Regression