Note: 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 |
AE |
HW |
EC |
Exam |
Project |
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Week 01 |
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| Tue, Aug 28 |
Welcome to Data Science |
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| 📊UNIT 1: |
EXPLORING DATA |
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| Thur, Aug 30 |
Meet the toolkit |
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| Tue, Sep 4 |
Data and visualization |
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| Thur, Sep 6 |
Tidy data and data wrangling |
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| Tue, Sep 11 |
Tips for effective data visualization, Pt 1 |
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Tips for effective data visualization, Pt 2 |
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| Thur, Sep 13 |
No class: Cancelled due to Hurricane Florence 💨 |
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| Tue, Sep 18 |
Merge conflicts |
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Implementing principles for effective visualizations in R |
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| Thur, Sep 20 |
Visualization makeover presentations |
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Coding style |
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| Tue, Sep 25 |
Scientific studies, confounding, and Simpson's paradox |
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| Thur, Sep 27 |
Data types + Recoding variables |
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Review + recap |
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| Tue, Oct 2 |
Web scraping |
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| Thur, Oct 4 |
Functions and automation |
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| Tue, Oct 9 |
No class: Fall break 🍂 |
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| ✅ UNIT 2: |
MAKING RIGOROUS CONCLUSIONS |
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| Thur, Oct 11 |
The language of models |
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| Tue, Oct 16 |
Simple linear regression |
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| Thur, Oct 18 |
Principal Components Analysis |
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| Tue, Oct 23 |
Multiple linear regression |
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| Thur, Oct 25 |
Model selection |
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| Tue, Oct 30 |
Model validation and prediction |
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| Thur, Nov 1 |
Estimation via bootstrapping |
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| Tue, Nov 6 |
Hypothesis testing via simulation methods |
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| Thur, Nov 8 |
Review + recap |
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| Tue, Nov 13 |
Inference for regression |
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| Thur, Nov 15 |
Central limit theorem |
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| Tue, Nov 20 |
Inference overview |
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| Thur, Nov 22 |
No class: Thanksgiving 🦃 |
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| 👀 UNIT 3: |
LOOKING FORWARD |
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| Tue, Nov 27 |
Data science ethics |
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| Thur, Nov 29 |
Interactive data visualization and reporting |
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| Tue, Dec 4 |
Bayesian inference |
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| Thur, Dec 6 |
Text analysis |
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| Fri, Dec 14 |
Final project presentations |
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