Schedule

No plan survives contact with the enemy —– paraphrased quote of Helmuch von Moltke the Elder

This schedule is an approximation, subject to change due needs of the students in the course. Students will be informed of changes to the schedule.

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Week 1

Friday, Jan 5, 2018 Lab

Readings before:

• QSS Ch 1. “Introduction”’ and QSS Tidy “Chapter 1“
• R4DS Ch 2. “Introduction“
• R4DS Ch 3. “Data Visualization“
• R4DS Ch 4. “Workflow: basics“
• R4DS Ch 5. “Workflow: scripts“
• R4DS Ch 27 “R Markdown“

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Week 2

Tuesday, Jan 9, 2018

Readings before:

• QSS Ch 2. “Causality” and QSS Tidy “Chapter 2“
• R4DS Ch 8. “Project“
• Wickham H (2010). “A layered grammar of graphics.” Journal of Computational and Graphical Statistics, doi:10.1198/jcgs.2009.07098.

Friday, Jan 12, 2018 Lab

Readings before:

• R4DS Ch. 5. “Data Transformation“
• R4DS Ch 27 “R Markdown“
• R4DS Ch. 12 “Tidy Data“
• Wickham H (2014). “Tidy Data.” Journal of Statistical Software doi: 10.18637/jss.v059.i10

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Week 3

Tuesday, Jan 16, 2018

Data wrangling and Causal Inference review

Readings before:

• EGAP, 10 Things to Know About Causal Inference.
• EGAP, http://egap.org/methods-guides/10-strategies-figuring-out-if-x-caused-y

Friday, Jan 19, 2018 Lab

Data wrangling

Readings before:

• R4DS Ch. 11 “Data Import“
• R4DS Ch. 13. “Relational Data“
• R4DS Ch. 14. “Strings” (skim)
• R4DS Ch. 15. “Factors” (skim)
• R4DS Ch. 16. “Dates and Times” (skim)

Friday, Jan 19, 2018 Lab

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Week 4

Tuesday, Jan 23, 2018

Measurement

Readings before:

• QSS Ch 3. “Measurement” and QSS Tidy Chapter 3
• R4DS Ch. 7. “Exploratory Data Analysis“

Optional readings after:

• Peng, Roger. Exploratory Data Analysis in R. Chapters “5: Exploratory Data”, “6: Principles of Analytic Graphics”, “12: Hierarchical Clustering”, “13: K-Means Clustering”, “14: Dimension Reduction”.
• Cohn, Nate. “Explaining Online Panels and the 2014 Midterms”. New York Times. 2014-07-27.
• Gelman, Andrew. “Modern polling needs innovation, not traditionalism. Washington Post, 2014-08-04”
• Rothschild, David. “All polls are non-probability to varying degrees. Huffington Post, 2016-09-07.”

Friday, Jan 26, 2018 Lab

In class:

• Functions and For Loops

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Week 5

Tuesday, Jan 30, 2018

Prediction

Readings before:

• QSS Ch 4. “Prediction” and QSS Tidy “Chapter 4“

Friday, Feb 2, 2018 Lab

Readings before:

• R4DS Ch 22 “Model: Introduction“
• R4DS Ch 23 “Model Basics“
• R4DS Ch 24 “Model Building“
• R4DS Ch 25 “Many Models“

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Week 6

Tuesday, Feb 6, 2018

Continue working on prediction

Friday, Feb 9, 2018 Lab

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Week 7

Tuesday, Feb 13, 2018

Probability

Readings before:

• QSS Ch 6. “Probability” and QSS Tidy “Chapter 6“

Friday, Feb 16, 2018 Lab

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Week 8

Tuesday, Feb 20, 2018

Inference, Estimation, Hypothesis testing

Readings before:

• QSS Ch 7.1 “Estimation” and QSS Tidy
• QSS Ch 7.2 “Hypothesis Testing” and QSS Tidy

Friday, Feb 23, 2018 Lab

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Week 9

Tuesday, Feb 27, 2018

Inference for the Linear Model

Readings before:

• QSS Ch 7.3 “Linear Regression Model with Uncertainty” and QSS Tidy
• Wasserstein, Ronald, and Nicole A. Lazar. 2016. “The ASA’s Statement on $p$-Values: Context, Process, and Purpose” DOI

Friday, Mar 2, 2018 Lab

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Week 10

Tuesday, Mar 6, 2018

Overflow. Working on projects

Friday, Mar 9, 2018 Lab

Overflow. Working on projects

Readings before:

• R4DS Ch 28. Graphics for communication

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