STA 199: Introduction to Data Science

Section 2 - 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 what topic prepare slides ae hw hw_sa lab lab_sa exam project notes
1 M 29 August Lec 1 Welcome to STA 199
W 31 August Lec 2 Meet the toolkit Release Lab 0
Th 1 September Lab 1 Hello R!
2 M 5 September Lec 3 Grammar of graphics
W 7 September Lec 4 Visualizing various types of data
Th 8 September Lab 2 Data visualization Release: Lab 1 / Release: HW 1
F
3 M 12 September Lec 5 Grammar of data wrangling Due: Lab 1
W 14 September Lec 6 Working with multiple data frames
Th 15 September Lab 3 Data wrangling Release: Lab 2 / Due: HW 1 / Release: HW 2
F
4 M 19 September Lec 7 Tidying data Due: Lab 2
W 21 September Lec 8 Data types and classes
Th 22 September Lab 4 Data tidying Release: Lab 3 / Due HW 2
F
5 M 26 September Lec 9 Importing and recoding data Due: Lab 3
W 28 September Lec 10 Exam 1 Review
Th 29 September Lab No lab - Work on Exam 1 Release Exam 1 at 12 p.m.
F
6 M 3 October Lec 11 Data science ethics 1 Due Exam 1 at 2 p.m.
W 5 October Lec 12 Data science ethics 2
Th 6 October Lab Merge Conflicts + Ethics Release: Lab 4 / Release: HW 3
7 M 10 October Lec Fall break
W 12 October Lec 13 Web scraping Due: Lab 4
Th 13 October Lab Work on project proposal
F 14 October Due: HW 3
8 M 17 October Lec 14 Functions + iteration
W 19 October Lec 15 The language of models
Th 20 October Lab 5 Probability + Simpson's Paradox Release: Lab 5 / Due: Project proposal
F
9 M 24 October Lec 16 Models with a single predictor Due: Lab 5
W 26 October Lec 17 Models with multiple predictors Release: HW 4
Th 27 October Lab 6 Predicting a numerical outcome Release: Lab 6
F
10 M 31 October Lec 18 Models with multiple predictors + Overfitting Due: Lab 6
W 2 November Lec 19 Logistic regression
Th 3 November Lab Work on project draft Release: Lab / HW 5; Due: HW 4
F
11 M 7 November Lec 20 Quantifying uncertainty Due: Lab - project draft 1
W 9 November Lec 21 Hypothesis testing via simulation
Th 10 November Lab 7 Prediction and Bootstrapping Due: HW 5; Release: Lab 7
F
12 M 14 November Lec 22 Inference overview Due: Lab 7
W 16 November Lec 23 Exam 2 Review
Th 17 November Lab No lab - Work on Exam 2 Release Exam 2 at 12pm
F
13 M 21 November Lec 24 No Class Due: Exam 2 at 2pm
W 23 November Lecture No Lec - Thanksgiving
Th 24 November Lab No lab - Thanksgiving
14 M 28 November Lec 25 Communicating data science results effectively
T 29 November Due: Project draft due (optional)
W 30 November Lec 26 Customizing Quarto reports and presentations
Th 1 December Lab Project peer review
15 M 5 December Lec 25 Spatial Data Analysis / Jobs in Stats & Data Science
W 7 December Lec 26 Build Apps in Shiny
Th 8 December Lab Project presentations Due: Project everything
F 9 December Due: HW 6 / Statistics experience