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.
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
Exam-1
Fr
21 February
8
Tu
25 February
Importing + recoding data
Tr
27 February
Group work with GitHub: Merge Conflicts
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