Every weekly session has three sections.
- Read: This page contains the slides and optional reading for the week.
- HW: This page contains any problem sets for the week.
- Try: This page contains example code from each week’s content.
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| Sep 22 |
Week 1: Introduction |
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| Sep 27, Sep 29 |
Week 2: Visualizing data with ggplot
Assignment 1 |
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| Oct 4, Oct 6 |
Week 3: Data wrangling
Assignment 2 |
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| Oct 11, Oct 13 |
Week 4: Relationships between variables
Assignment 3 |
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| Oct 18, Oct 20 |
Week 5: Modeling
Assignment 4 |
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| Oct 25, Oct 27 |
Week 6: Prediction
Assignment 5 |
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| Nov 1, Nov 3 |
Week 7: Causality and confounds |
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| Nov 8, Nov 10 |
Week 8: DAGs and controls
Assignment 6 |
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| Nov 15, Nov 17 |
Week 9: Natural experiments
Cancelled: Assignment 7 |
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| Nov 22 |
Week 10: Uncertainty
(no class Thursday: Thanksgiving) |
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| Nov 29 - Dec 1 |
Week 11: Quantifying uncertainty
Assignment 8 |
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| Dec 7th, 11:59PM |
Final Project Due |
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