STA 199: Intro to Data Science and Statistical Thinking

This page contains an outline of the topics, content, and assignments for the semester! Entries for future dates are tentative; the timeline of topics, assignments, and due dates might be changed throughout the semester!

WEEK DATE TOPIC MATERIALS DUE PREPARE
1 Wed, May 14

Welcome

πŸ–₯️ slides 00
⌨️ ae 00

Github Survey - End of Lecture



Thu, May 15

Lab 0

πŸ’» lab 0

Lab 0 - End of Lecture



Thu, May 15

Meet the Toolkit

πŸ–₯️ slides 01
πŸ—’οΈ notes 01
⌨️ ae 01


πŸ“— r4ds - intro
πŸ“˜ ims - chp 1
πŸŽ₯ Meet the toolkit :: R and RStudio
πŸŽ₯ Meet the toolkit :: Quarto


Fri, May 16

Grammar of Data Visualization

πŸ–₯️ slides 02
πŸ—’οΈ notes 02
⌨️ ae 02
βœ… ae 02


πŸ“— r4ds - chp 1
πŸ“˜ ims - chp 4

2 Mon, May 19

More Data visualization

πŸ–₯️ slides 03
πŸ—’οΈ notes 03
⌨️ ae 03
βœ… ae 03


πŸ“˜ ims - chp 5
πŸŽ₯ Visualizing Quantitative Data
πŸŽ₯ Visualizing Categorical Data


Mon, May 19

Lab 1

πŸ’» lab 1


πŸ“— r4ds - chp 2
πŸ“˜ ims - chp 5


Tue, May 20

Grammar of Data Transformation

πŸ–₯️ slides 04
πŸ—’οΈ notes 04
⌨️ ae 04
βœ… ae 04


πŸ“— r4ds - chp 3.1-3.5


Wed, May 21

More Data Transformation

πŸ–₯️ slides 05
πŸ—’οΈ notes 05
⌨️ ae 05
βœ… ae 05

Lab 1 - 11:59PM ET

πŸ“— r4ds - chp 3.6-3.7
πŸŽ₯ Working with a single data frame


Thu, May 22

Tidying Data

πŸ–₯️ slides 06
πŸ—’οΈ notes 06
⌨️ ae 06
βœ… ae 06


πŸ“— r4ds - chp 5
πŸ“˜ ims - chp 6


Thu, May 22

Lab 2

πŸ’» lab 2


πŸ“— r4ds - chp 4
πŸŽ₯ Tidy data
πŸŽ₯ Tidying data
πŸŽ₯ Code Along: Population over time


Fri, May 23

Joining Data

πŸ–₯️ slides 07
πŸ—’οΈ notes 07
⌨️ ae 07
βœ… ae 07


πŸŽ₯ Joining data
πŸŽ₯ Code along :: Continent populations
πŸ“— r4ds - chp 19.1-19.3


Sun, May 25



3 Mon, May 26

NO CLASS - Memorial Day





Tue, May 27

Data Types and Classes

πŸ–₯️ slides 08
πŸ—’οΈ notes 08
⌨️ ae 08
βœ… ae 08


πŸŽ₯ Data types
πŸŽ₯ Data classes
πŸŽ₯ Code along :: That’s my type
πŸ“— r4ds - chp 16


Wed, May 28

Importing and Recoding Data

πŸ–₯️ slides 09
πŸ—’οΈ notes 09
⌨️ ae 09
βœ… ae 09

Lab 2 - 11:59PM ET

πŸŽ₯ Importing data
πŸŽ₯ Code along :: Student survey
πŸ“— r4ds - chp 7


Thu, May 29

More Practice + Midterm Review

πŸ–₯️ slides 10
πŸ—’οΈ notes 10
⌨️ ae 10
βœ… ae 10




Thu, May 29

Lab 3

πŸ’» lab 3
βœ… lab 3




Fri, May 30

Midterm Review

πŸ–₯️ slides 11
πŸ—’οΈ notes 11
πŸ“Š Kahoot!!




Sun, Jun 1

Lab 3 - 11:59PM ET


4 Mon, Jun 2

Data Science Ethics

πŸ–₯️ slides 12
πŸ—’οΈ notes 12


πŸ“• mdsr - chp 8
πŸ“ How to make a racist AI in R without really trying
πŸŽ₯ Alberto Cairo - How charts lie
πŸŽ₯ Joy Buolamwini - How I’m fighting bias in algorithms


Mon, Jun 2

Project Milestone 1 - Collaboration

πŸ’» Project Milestone 1

Project Milestone 1 - 12:30PM ET



Tue, Jun 3

Midterm





Wed, Jun 4

The Language of Models

πŸ–₯️ slides 13
πŸ—’οΈ notes 13
⌨️ ae 11
βœ… ae 11

Midterm Takehome - 9:30AM ET

πŸŽ₯ The language of models
πŸ“˜ ims - chp 7.1 πŸŽ₯ Fitting and interpreting models
πŸŽ₯ Modeling nonlinear relationships
πŸ“˜ ims - chp 7.2


Thu, Jun 5

Simple Linear Regression

πŸ–₯️ slides 14
πŸ—’οΈ notes 14
⌨️ ae 12
βœ… ae 12




Thu, Jun 5

Project Milestone 2 - Proposals





Fri, Jun 6

Multiple Linear Regression 1

πŸ–₯️ slides 15
πŸ—’οΈ notes 15


πŸŽ₯ Models with multiple predictors
πŸŽ₯ More models with multiple predictors
πŸ“˜ ims - chp 8.1-8.2


Sun, Jun 8

Project Milestone 2 - 11:59PM ET


5 Mon, Jun 9

Multiple Linear Regression 2

πŸ–₯️ slides 16
πŸ—’οΈ notes 16
⌨️ ae 13


πŸ“˜ ims - chp 8.3-8.5


Mon, Jun 9

Lab 4

πŸ’» lab 4




Tue, Jun 10

Model Selection

πŸ–₯️ slides 17
πŸ—’οΈ notes 17
⌨️ ae 13
βœ… ae 13




Wed, Jun 11

Logistic Regression1

πŸ–₯️ slides 18
πŸ—’οΈ notes 18
⌨️ ae 14
βœ… ae 14

Lab 4 - 11:59PM ET Peer Feedback Survey- 11:59 PM ET

πŸ“˜ ims - chp 9


Thu, Jun 12

Logistic Regression 2

πŸ–₯️ slides 19
πŸ—’οΈ notes 19
⌨️ ae 15
βœ…ae 15


πŸŽ₯ Logistic regression
πŸŽ₯ Prediction and overfitting


Thu, Jun 12

Lab 5

πŸ’» lab 5




Fri, Jun 13

Intervals

πŸ–₯️ slides 20
πŸ—’οΈ notes 20
⌨️ ae 16
βœ…ae 16

Project Milestone 3 - 11:59PM ET

πŸŽ₯ Quantifying uncertainty
πŸŽ₯ Bootstrapping
πŸ“˜ ims - chp 12


Sun, Jun 15

Lab 5 - 11:59PM ET


6 Mon, Jun 16

Hypothesis Testing

πŸ–₯️ slides 21
πŸ—’οΈ notes 21
⌨️ ae 17
βœ…ae 17


πŸ“˜ ims - chp 11


Mon, Jun 16

Project Milestone 4 - Peer Review

πŸ’» Code Options

Project Milestone 4 - 12:30PM ET



Tue, Jun 17

More Inference

πŸ–₯️ slides 22
πŸ—’οΈ notes 22




Wed, Jun 18

More Inference

πŸ–₯️ slides 23
πŸ—’οΈ notes 23
⌨️ ae 18
βœ…ae 18




Thu, Jun 19

NO CLASS - Juneteenth





Fri, Jun 20

Lab 6

πŸ’» lab 6
⌨️ Final Review Survey
πŸ–₯️ Announcements




Sun, Jun 22



7 Mon, Jun 23

Project Milestone 5 - Presentations + Final Review


Project - 9:30 AM Lab 6 - 11:59PM ET



Mon, Jun 23

Final Review

πŸ–₯️ slides 25
πŸ—’οΈ notes 25
πŸ“Š Kahoot!!
πŸ’― Grade Calculator




Thu, Jun 26

FINAL EXAM (2pm - 5pm)