Schedule
Course Map
Daily schedule
Note: This schedule may be updated as the module progresses. Due dates for the homework and project will not be changed.
Week |
Date |
Lesson |
Reading |
Slides |
Tutorials |
Video |
HW |
Project |
Week 01 |
Wed, Oct 21 |
Welcome to Statistics and Data Science |
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Thur, Oct 22 |
Data basics |
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Fri, Oct 23 |
Statistics of illumination |
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Week 02 |
Mon, Oct 26 |
Categorical variable: barplot |
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Tue, Oct 27 |
Categorical variable: relationship |
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Wed, Oct 28 |
Numerical variable: histogram shape and summary |
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Thur, Oct 29 |
Numerical variable: robust statistics |
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Fir, Oct 30 |
Putting it all together |
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Week 03 |
Mon, Nov 02 |
Numerical variable: relationship |
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Tue, Nov 03 |
Election day (no class) |
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Wed, Nov 04 |
Linear model (last day to withdraw without a W) |
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Thur, Nov 05 |
Linear model interpretation |
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Fir, Nov 06 |
How useful is linear model |
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Week 04 |
Mon, Nov 09 |
The magic of randomness: causation |
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Tue, Nov 10 |
The magic of randomness: sampling |
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Wed, Nov 11 |
Sampling distribution |
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Thur, Nov 12 |
Normal model (No class meeting) |
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Fir, Nov 13 |
Central limit theorem |
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Week 05 |
Mon, Nov 16 |
Confidence interval |
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Tue, Nov 17 |
Interpretation of confidence interval |
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Wed, Nov 18 |
Student t model |
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Thur, Nov 19 |
Comparing two proportions/means |
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Fir, Nov 20 |
Bootstrapping method |
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Mon, Nov 23 |
Proposal presentation |
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Tue, Nov 24 |
Proposal presentation |
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Week 06 |
Mon, Nov 30 |
Hypothesis testing |
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Tue, Dec 01 |
P-value |
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Wed, Dec 02 |
Compute P-value with R |
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Thur, Dec 03 |
Decision making with hypothesis testing |
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Fir, Dec 04 |
Hypothesis testing examples |
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Week 07 |
Mon, Dec 07 |
Inference for regression |
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Tue, Dec 08 |
Inference for regression |
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Wed, Dec 09 |
Speaker and writer's workshop |
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Thur, Dec 10 |
Final presentation |
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Fir, Dec 11 |
Final presentation |
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