Week 0

Jan 2 - 5

Getting Ready for STATS 6

		Notes	Links	Due
	Getting to Know the Course Website	Take time to go over the contents of this website, especially read the policies section. Do not forget to bookmark introdata.science.
	Get a GitHub username			Jan 3, 5:00 pm
	Introduce Yourself to the Teaching Team	The responses to this “quiz” will not be available to your classmates. The quiz is not timed.		Jan 7, 1:55 pm
	Get Your Tech Ready	The responses to this “quiz” will help us make sure that you are ready for the first class in terms of your tech needs. The quiz is not timed but it will take about half an hour to an hour to complete all the tasks.		Jan 7, 1:55 pm
	Syllabus Quiz			Jan 7, 1:55 pm

Week 1

Jan 6 - 12

		Notes	Links	Due
	Introduction to STATS 6 and the Toolkit	Welcome!!!
	Reading	Chapter 1
	Reading	Section 1.2
	Describing Data with Numbers	Data Frames, Variables, and Descriptive Statistics (VIDEO RECORDED CLASS)
	Reading	Section 2.1
	Quiz 1b	Normally conducted in class but online due to online lecture		Jan 14, 1:55 pm
	Homework 1: First Steps with Data	In Week 1 repo		Jan 14, 1:55 pm

Week 2

Jan 13 - 19

		Notes	Links	Due
	Data Representations: Part I	Data Visualization
	Reading	Chapter 3
	Data Representations: Part II	Accessible Visualizations, Data Verbalization, Sonification, and Tactualization
	Homework 2: Data Representations	In Week 2 repo		Jan 21, 1:55 pm

Week 3

Jan 20 - 26

		Notes	Links	Due
	Data Wrangling: Part I	Pipe Operator, Subsetting Data Frames, Changing Variables
	Reading	Chapter 5
	Data Wrangling: Part II			Aggregating Data and Data Joins
	Reading	Chapter 13
	Homework 3: Data Wrangling	In Week 3 repo		Jan 28, 1:55 pm

Week 4

Jan 27 - Feb 2

		Notes	Links	Due
	Good Workflow Practices for Reproducible Data Science
	Reading on Reproducibility	by Roger Peng
	Working with Strings, Factors, and Dates
	Reading	Chapter 14, 15, and 16
	No Homework but Project Proposal	In Week 4 repo		Feb 18th at 1:55 pm

Week 5

Feb 3 - 9

		Notes	Links	Due
	Web Scraping
	Midterm Policies
	Midterm	In class		Feb 6, 2:00 pm
	Project proposal	Instructions in Week 4 repos		Feb 18th at 1:55 pm

Week 6

Feb 10 - 16

		Notes	Links	Due
	Foundations for Statistical Inference
	Introduction to Bayesian Inference: The Beta-Binomial Model
	Reading	Sections 4.1, 4.2, 4.3
	Optional Reading	Chapters 3 and 4
	Homework 6: Bayesian Ideas	In Week 6 repo		Feb 18th at 1:55 pm
	Project proposal	Instructions in Week 4 repos		Feb 18th at 1:55 pm

Week 7

Feb 17 - 23

		Notes	Links	Due
	Introduction to Bayesian Inference: Credible Intervals and Hyptohesis Testing
	Reading	Section 8.2
	Introduction to Frequentist Inference
	Reading	Section 5.1
	Homework 7: Bayesian Inference	In Week 7 repo		Feb 25th at 1:55 pm

Week 8

Feb 24 - Mar 2

		Notes	Links	Due
	Introduction to Frequentist Inference: Inference for a Proportion
	Reading	Section 6.1
	Getting Ready for Final Presentations
	Reading	Section 5.1
	Homework 8: Frequentist Inference	In Week 8 repo		March 4th at 1:55 pm

Week 9

Mar 2 - 9

		Notes	Links	Due
	Simple Linear Regression, Sampling, and Study Design
	Reading	Chapter 7
	Multiple Linear Regression, Transformations, and Model Evaluation
	Reading	Chapter 8
	Homework 9: Linear Regression	In Week 9 repo		March 11th at 1:55 pm

Week 10

Mar 10 - 16

		Notes	Links	Due
	Logistic Regression
	Reading	Chapter 7
	Making Quarto Presentations	Hands-on work for projects

Final Week

Mar 17 - 23

		Notes	Links	Due
	Project submission	Instructions in Week 9 repo		Mar 20, at 1:00 pm
	Peer evaluation of projects	on Canvas		Mar 20, at 1:30 - 3:30 pm