STA 199: Introduction to Data Science & 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 session at the instructor’s discretion. All material changes will be communicated with the students in a timely manner.

WEEK DATE TOPIC MATERIALS DUE PREPARE
1 Mon, Jun 29

Welcome

πŸ–₯️ slides 00
⌨️ ae 00

Github Survey - End of Lecture



Mon, Jun 29

Lab 0

πŸ’» lab 0

Lab 0 - End of Lab



Tue, Jun 30

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


Wed, Jul 1

Grammar of Data Visualization

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


πŸ“— r4ds - chp 1
πŸ“˜ ims - chp 4


Thu, Jul 2

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


Thu, Jul 2

Lab 1

πŸ’» lab 1


πŸ“— r4ds - chp 2
πŸ“˜ ims - chp 5


Fri, Jul 3

NO CLASS - Independence Day (Observed)




2 Mon, Jul 6

Grammar of Data Transformation

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

Lab 1 - 11:59PM ET

πŸ“— r4ds - chp 3.1-3.5


Tue, Jul 7

More Data Transformation

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


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


Wed, Jul 8

Tidying Data

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


πŸ“— r4ds - chp 5
πŸ“˜ ims - chp 6


Thu, Jul 9

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


Thu, Jul 9

Lab 2

πŸ’» lab 2


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


Fri, Jul 10

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

3 Mon, Jul 13

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


Mon, Jul 13

Lab 3

πŸ’» lab 3
βœ… lab 3




Tue, Jul 14

More Practice + Midterm Review

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




Wed, Jul 15

Midterm Review

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

Lab 3 - 11:59PM ET



Thu, Jul 16

Project Milestone 1 - Collaboration

πŸ’» Project Milestone 1

Project Milestone 1 - 12:30PM ET



Fri, Jul 17

Midterm




4 Mon, Jul 20

Data Science Ethics

πŸ–₯️ slides 12
πŸ—’οΈ notes 12

Midterm Takehome - 9:30AM ET

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


Tue, Jul 21

The Language of Models

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


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


Wed, Jul 22

Simple Linear Regression

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




Thu, Jul 23

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


Thu, Jul 23

Project Milestone 2 - Proposals





Fri, Jul 24

Multiple Linear Regression 2

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


πŸ“˜ ims - chp 8.3-8.5


Sun, Jul 26

Project Milestone 2 - 11:59PM ET


5 Mon, Jul 27

Model Selection

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




Mon, Jul 27

Lab 4

πŸ’» lab 4




Tue, Jul 28

Logistic Regression 1

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

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

πŸ“˜ ims - chp 9


Wed, Jul 29

Logistic Regression 2

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


πŸŽ₯ Logistic regression
πŸŽ₯ Prediction and overfitting


Thu, Jul 30

Intervals

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


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


Thu, Jul 30

Lab 5

πŸ’» lab 5




Fri, Jul 31

Hypothesis Testing

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

Lab 5 - 11:59PM ET
Project Milestone 3 - 11:59PM ET

πŸ“˜ ims - chp 11

6 Mon, Aug 3

More Inference

πŸ–₯️ slides 22
πŸ—’οΈ notes 22




Mon, Aug 3

Project Milestone 4 - Peer Review

πŸ’» Code Options

Project Milestone 4 - 12:30PM ET



Mon, Aug 3

Lab 6

πŸ’» lab 6




Tue, Aug 4

More Inference

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




Wed, Aug 5

Final Review

πŸ–₯️ slides 25
πŸ—’οΈ notes 25
πŸ’― Grade Calculator




Thu, Aug 6

Project Milestone 5 - Presentations


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



Fri, Aug 7

FINAL EXAM - Date TBD