Due dates of exams and project will not move, however the timeline of topics and smaller assignments might be updated throughout the semester.
Date |
Lesson |
Slides |
Reading |
Lab |
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HW |
EC |
Exam |
Project |
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Week 00 |
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Wed, Jan 10 |
Welcome to Data Science |
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Thur, Jan 11 |
Lab 00: Logistics |
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Week 01 |
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Mon, Jan 15 |
No class - Martin Luther King, Jr. Day holiday |
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PART 1: |
Visualizing and wrangling data |
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Wed, Jan 17 |
Meet the toolkit |
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Thur, Jan 18 |
Lab 01: Hello R! |
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Week 02 |
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Mon, Jan 22 |
Fundamentals of data & data visualization |
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Wed, Jan 24 |
Tidy data & data wrangling |
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Thur, Jan 25 |
Lab 02: Data wrangling and visualization |
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Week 03 |
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Mon, Jan 29 |
Merge conflicts |
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Tips for effective data visualization |
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Wed, Jan 31 |
Data Visualization and Exploration, Pt 2 |
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Thur, Feb 1 |
Lab 03: Visualizing spatial data |
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Week 04 |
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Mon, Feb 5 |
Guest lecture: Hadley Wickham & Jenny Bryan |
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Wed, Feb 7 |
Review and recap |
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Thur, Feb 8 |
Lab 04: Wrangling spatial data |
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Week 05 |
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Mon, Feb 12 |
Confounding variables and Simpson's paradox |
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Midterm 01 assigned |
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Wed, Feb 14 |
Coding style + Data types + Recoding variables |
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Thur, Feb 15 |
Lab 05: Simpson's paradox |
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Fri, Feb 16 |
Midterm 01 due (at noon) |
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PART 2 |
Making rigorous conclusions |
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Week 06 |
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Mon, Feb 19 |
Factors + The language of models |
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Wed, Feb 21 |
Formalizing linear models |
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Thur, Feb 22 |
Lab 06: Modelling course evaluations |
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Week 07 |
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Mon, Feb 26 |
Modeling nonlinear relations + Introducing multiple predictors |
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Wed, Feb 28 |
Multiple linear regression + Model selection |
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Thur, Mar 1 |
Lab 07: Modelling course evaluations, Pt 2 |
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Week 08 |
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Mon, Mar 5 |
Prediction and model validation |
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Wed, Mar 7 |
Estimation via bootstrapping |
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Thur, Mar 8 |
Lab 08: Pulling yourself up by your bootstraps |
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Week 09 |
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Mon, Mar 12 |
No class - Spring break |
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Wed, Mar 14 |
No class - Spring break |
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Thur, Mar 15 |
No lab - Spring break |
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Week 10 |
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Mon, Mar 19 |
Hypothesis testing via simulation methods |
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Wed, Mar 21 |
Inference overview |
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Thur, Mar 22 |
Lab: Work on project proposals |
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Week 11 |
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Mon, Mar 26 |
Review of simulation based inference |
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Wed, Mar 28 |
Central limit theorem |
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Thur, Mar 29 |
Lab 09: Simulation based inference |
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Week 12 |
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Mon, Apr 2 |
Central limit theorem based inference |
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Midterm 02 assigned |
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Wed, Apr 4 |
Inference for regression |
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Thur, Apr 5 |
Lab: MT review |
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Fri, Apr 6 |
Midterm 02 due (at noon) |
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DataFest! (begins at 6pm) |
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Sat, Apr 7 |
DataFest! |
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Sum, Apr 8 |
DataFest! (ends at 5pm) |
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PART 3 |
Looking forward |
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Week 13 |
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Mon, Apr 9 |
Web scraping |
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Wed, Apr 11 |
Functions and automation |
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Thur, Apr 12 |
Lab 10: Scrape and analyze |
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Week 14 |
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Mon, Apr 16 |
Interactive data visualization and reporting, Part 1 |
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Wed, Apr 18 |
Interactive data visualization and reporting, Part 2 |
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Thur, Apr 19 |
Work on project |
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Week 15 |
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Mon, Apr 23 |
Bayesian inference |
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Wed, Apr 25 |
Text analysis of song lyrics |
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Sat, May 5 |
Project presentations |
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