Week 1 (Aug 31st)

Mon

Topics:

  • Course Structure
    • Lecture/Lab
    • Slack
    • Helpers
  • Statistical Thinking


Wed

Due:

  • Slack: Introduction activity

Before Class Readings:

  • ModernDive: Ch 1.4

Topics:

  • Structure of data


Lab

Before Lab Readings:

  • ModernDive: Ch 1.1 (skip 1.1.1), 1.2, 1.3

Topics:

  • Introduction to R and RStudio


Fri

Before Class Readings:

  • ModernDive: Ch 2.1

Topics:

  • Data Visualization

Week 2 (Sept 7th)

Mon

No classes or office hours for Labor Day


Wed

Before Class Readings:

  • ModernDive: Ch 2.2 - 2.9

Topics:

  • Data Visualization with ggplot2


Lab

Topics:

  • Deconstructing graphs
  • Constructing graphs with ggplot2

Fri

Topics:

  • Data Visualization with ggplot2

###Week 3 (Sept 14th)

Mon

Before Class Readings:

  • ModernDive: Chs 3.1, 3.3 and 3.4

Topics:

  • Data Summarization

Wed

Before Class Readings:

  • ModernDive: Chs 3.2, 3.5 - 3.9

Topics:

  • Data wrangling


Lab

Topics:

  • Data visualization with ggplot2

Fri

Topics:

  • Data wrangling
  • Data collection

###Week 4 (Sept 21st)

Mon

Before Class Readings:

  • OpenIntro: Ch 1.3 - 1.5

Topics:

  • Data collection

Due (as a lab section):

  • Completed Data Dictionary

Wed

Topics:

  • Data collection


Lab

Topics:

  • Data wrangling
  • Data collection

Fri

Before Class Readings:

  • ModernDive: Ch 5.1

Topics:

  • Linear regression

###Week 5 (Sept 28th)

Mon

Before Class Readings:

  • ModernDive: Ch 5.2

Topics:

  • Linear regression

Wed

Before Class Readings:

  • ModernDive: Ch 6.1

Topics:

  • Multiple linear regression


Lab

Topics:

  • Data collection
  • Linear regression

Fri

Before Class Readings:

  • ModernDive: Ch 6.2

Topics:

  • Multiple linear regression

Due:

  • Project Assignment 1

###Week 6 (Oct 5th)

Mon

Topics:

  • Multiple linear regression

Wed

Topics:

  • Multiple linear regression


Lab

Topics:

  • Multiple linear regression
  • Election forecasting

Fri

Before Class Readings:

  • ModernDive: Ch 7

Topics:

  • Statistical inference
  • Sampling distributions

###Week 7 (Oct 12th)

Mon

Topics:

  • Sampling distributions

Wed

Guest Lecture:

  • Paul Gronke, Professor of Political Science

Topics:

  • Election forecasting
  • Exam prep


Lab

No labs.

  • Takehome and oral exams on Thursday and Friday.

Fri

No class.

  • Takehome and oral exams Thursday and Friday.

###Week 8 (Oct 19th)

Mon

Before Class Readings:

  • ModernDive: Ch 8.1-8.3

Topics:

  • Sampling distributions
  • Estimation: Confidence intervals

Wed

Before Class Readings:

  • ModernDive: Ch 8.3-8.7

Topics:

  • Confidence intervals


Lab

Topics:

  • Inference
    • Estimation

Fri

Before Class Readings:

  • ModernDive: Ch 9.1-9.3

Topics:

  • Inference: Testing conjectures

Due:

  • Project Assignment 2


###Week 9 (Oct 26th)

Mon

Before Class Readings:

  • ModernDive: Ch 9.1-9.3

Topics:

  • Inference: testing conjectures
    • Problems with p-values

Wed

Topics:

  • Inference


Lab

Topics:

  • Inference
    • Estimation
    • Testing conjectures

Fri

Before Class Readings:

  • ModernDive: Appendix A.2
  • OpenIntro: Ch 2.5 - 2.7, Appendix A

Topics:

  • Probability models
  • Conditional probabilities

###Week 10 (Nov 2nd)

Mon

Topics:

  • Random variables
    • Conditional probabilities

Wed

Topics:

  • Random variables
    • Named distributions
  • Central Limit Theorem


Lab

Topics:

  • Hypothesis testing
  • Probability

Fri

Topics:

  • Connecting probability theory to statistical inference

###Week 11 (Nov 9th)

Mon

Before Class Readings:

  • ModernDive: Appendix B

Topics:

  • Inference: practice with different data types

Wed

Topics:

  • Inference: practice with different data types


Lab

Topics:

  • Inference: practice with different data types

Fri

Before Class Readings:

  • OpenIntro: Ch 3.4

Topics:

  • Inference: Chi-squared test

###Week 12 (Nov 16th)

Mon

Before Class Readings:

  • OpenIntro: Ch 4.4

Topics:

  • Inference: Analysis of Variance

Wed

Before Class Readings:

  • Modern Dive: Ch 10

Topics:

  • Inference: Multiple Regression


Lab

Topics:

  • Chi-squared test
  • ANOVA test

Fri

Topics:

  • Inference: Multiple Regression

###Week 13 (Nov 30th)

Mon

Topics:

  • Multiple regression

Wed

Before Class Readings:

  • OpenIntro: Ch 6.4

Topics:

  • Logistic regression


Lab

Topics:

  • Multiple regression

Fri

Topics:

  • Logistic regression

###Week 14 (Dec 7th)

Mon

Topics:

  • Wrap-up

Wed

Due:

  • Final Project Assignment


Thurs

Final Exam


Fri

Final Exam