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