Note: This schedule may be updated as the semester progresses. Due dates for the exams and project will not be changed.

Week Date Lesson Slides Reading Lab AE HW Exam Project
Week 1 Thu, Jan 09 Welcome to data science
Fri, Jan 10 Lab 00
Week 2 Tue, Jan 14 Meet the toolkit
Thu, Jan 16 Fundamentals of data and data visualization
Fri, Jan 17 Lab 01
Week 3 Tue, Jan 21 R workshop
Thu, Jan 23 Tidy data and data wrangling
Homework 1 assigned
Fri, Jan 24 Lab 02
Week 4 Tue, Jan 28 Spatial data wrangling and visualization
Thu, Jan 30 Effective data visualization
Homework 1 due
Fri, Jan 31 Lab 03
Week 5 Tue, Feb 04 Confounding variables and Simpson's paradox
Thu, Feb 06 Data types and code style
Homework 2 assigned
Fri, Feb 07 Lab 04
Week 6 Tue, Feb 11 Functions and automation
Thu, Feb 13 Text data analysis
Homework 2 due
Fri, Feb 14 R workshop
Exam 1 assigned
Week 7 Tue, Feb 18 Language of models
Exam 1 due
Thu, Feb 20 Formalizing linear models
Fri, Feb 21 Lab 05
Week 8 Tue, Feb 25 Introduction to multiple regression
Thu, Feb 27 Prediction
Homework 3 assigned
Fri, Feb 28 Lab 06
Week 9 Tue, Mar 03 Classification
Thu, Mar 05 Estimation via bootstrap part I
Homework 3 due
Fri, Mar 06 Lab 07
Week 10 Tue, Mar 10 No lecture - Spring Break
Thu, Mar 12 No lecture - Spring Break
Fri, Mar 13 No lab - Spring Break
Week 11 Tue, Mar 17 Estimation via bootstrap part II
Thu, Mar 19 Simulation-based hypothesis testing part I
Fri, Mar 20 Lab 08
Week 12 Tue, Mar 24 Simulation-based hypothesis testing part II
Thu, Mar 26 Simulation-based inference review
Fri, Mar 27 Project introduction
Week 13 Tue, Mar 31 Sampling distributions and CLT
Thu, Apr 02 CLT-based inference
Homework 4 assigned
Fri, Apr 03 Lab 09
Week 14 Tue, Apr 07 Inference for regression
Thu, Apr 09 R Shiny part I
Homework 4 due
Fri, Apr 10 Lab 10
Week 15 Tue, Apr 14 R Shiny part II
Thu, Apr 16 Web scraping part I
Fri, Apr 17 Project workshop
Exam 2 assigned
Week 16 Tue, Apr 21 Web scraping part II
Exam 2 due
Week 17 Wed, Apr 29 Project presentations