| Week 1 |
1 |
May-21 |
Beginnings: Course overview and setup |
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|
|
2 |
May-22 |
The data scientist’s toolbox I |
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|
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3 |
May-23 |
The data scientist’s toolbox II |
|
Reading 1 |
|
4 |
May-24 |
Introduction to data and visualization I |
|
Reading 2 |
|
5 |
May-25 |
Introduction to data and visualization II |
|
Can Twitter predict election results
Reading 3 |
| Week 2 |
|
May-28 |
Memorial Day (No class) |
|
Visualization mini-assignment
Reading 4 |
|
6 |
May-29 |
Data Wrangling I |
|
Reading 5 |
|
7 |
May-30 |
Data Wrangling II |
|
Homework 1
Reading 6 |
|
8 |
May-31 |
Statistical distributions I |
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Reading 7 |
|
9 |
Jun-01 |
Statistical distributions II |
|
Reading 8 |
| Week 3 |
10 |
Jun-04 |
Tidy data |
|
Reading 9 |
|
11 |
Jun-05 |
Introduction to the Midterm Project dataset |
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|
|
12 |
Jun-06 |
Web scraping I |
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Homework 2 |
|
13 |
Jun-07 |
Web scraping II |
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|
|
14 |
Jun-08 |
Midterm project conferences and R questions |
|
Reading 10 |
| Week 4 |
15 |
Jun-11 |
Inference and simulation I |
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Reading 11 |
|
16 |
Jun-12 |
Inference and simulation II |
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|
|
17 |
Jun-13 |
Inference and simulation III |
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Reading 12
|
|
18 |
Jun-14 |
Midterm project presentations
Overview of final project
Inference and simulation IV |
|
Midterm project |
|
19 |
Jun-15 |
Modeling I |
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Homework 3
Reading 13 |
| Week 5 |
20 |
Jun-18 |
Modeling II |
|
Reading 14 |
|
21 |
Jun-19 |
Modeling III |
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Reading 15 |
|
22 |
Jun-20 |
Course wrap-up |
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Homework 4
Homework 5 (extra credit) |
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Jun-22 |
Final Interview
Time: 10:30am – 1:15pm |
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Final project |
