Schedule

Note: This page shows an overview of the topics and assignments in this course. Click on the tab for each week to see a detailed view of the readings, videos, slides, and other information.

This schedule may be updated as the semester progresses, with all changes documented here. Due dates for the exams will not be changed.

			Slides	Labs	HW	Exam	Project
Week 01	Mon, Aug 17	Welcome to STA 199!
	Wed, Aug 19	Meet the Toolkit
	Thu, Aug 20	Lab 01: Hello R!
Week 02	Mon, Aug 24	Data and visualization
	Wed, Aug 26	Visualizing different types of data
	Thu, Aug 27	Lab 02: Data wrangling and visualization
Week 03	Mon, Aug 31	Tidy data and data wrangling
	Wed, Sep 02	Joining data from multiple sources
	Thu, Sep 03	Lab 03: Nobel laureates
Week 04	Mon, Sep 07	Introduction to probability
	Wed, Sep 09	Conditional probability
		HW 01 assigned
	Thu, Sep 10	Lab 04: Examining smoking and health outcomes
Week 05	Mon, Sep 14	Estimation via bootstrapping
	Wed, Sep 16	Data science ethics
	Thu, Sep 18	Lab 05: Bootstrap estimation
Week 06	Mon, Sep 21	Simulation-based testing: Part 1
	Wed, Sep 23	Simulation-based testing: Part 2
	Thu, Sep 24	No Lab: Work on Exam 01
		Exam 01 assigned at 9a
	Sun, Sep 27	Exam 01 due at 11:59p
Week 07	Mon, Sep 28	The Central Limit Theorem
	Wed, Sep 30	Inference with the CLT
	Thu, Oct 01	Lab 06: Hypothesis testing
Week 08	Mon, Oct 05	Two-sample inference 1
	Wed, Oct 07	Two-sample inference 2
		Comparing three or more groups
	Thu, Oct 08	Lab: Mid-semester feedback + project proposal
	Fri, Oct 09	Project proposal due
Week 09	Mon, Oct 12	No lecture: Stats experience
		HW 02 assigned
	Wed, Oct 14	Introducing linear models
	Thu, Oct 15	Lab 07: Two-sample inference
	Sun, Oct 18	Stats experience 01 due
Week 10	Mon, Oct 19	Multiple linear regression (MLR)
	Wed, Oct 21	MLR: Inference + conditions
	Thu, Oct 22	No Lab: work on Exam 02
		Exam 02 assigned at 9a
	Sun, Oct 25	Exam 02 due at 11:59p
Week 11	Mon, Oct 26	Classification
	Wed, Oct 28	Text analysis
		Strings
		Draft report due
		HW 03 assigned
	Thu, Oct 29	Project peer feedback
Week 12	Mon, Nov 02	Spatial data + visualization
	Wed, Nov 04	No lecture: Stats experience
	Thu, Nov 05	Lab 08: Logistic regression
		Peer feedback due
	Sun, Nov 08	Stats experience 02 due
Week 13	Mon, Nov 09	Web scraping
	Wed, Nov 11	Functions + automation
	Thu, Nov 12	Project work day
	Sun, Nov 15	Final written report due
Week 14	Mon, Nov 16	Project work day
	Tue, Nov 17	Slides, video, repo due
	Fri, Nov 20	Presentation comments due