#### Reminders

- Pre-lecture quizzes are due at noon the day of every lecture
- Datacamp and end-of-week assignments are also due at noon

## Week 1

**Focus:**Basic data exploration and description; Getting started with R

**End-of-week assignment:**Homework 1

Monday24 Oct |
Lecture: Course foundationsRead Ch 1-3 (quiz due Wednesday noon) Review syllabus (quiz due Wednesday noon) |

Tuesday25 Oct |
Lab: RStudio and RMarkdown 101 Install R and RStudio ahead of the labSet up your Datacamp account (see email) |

Wednesday26 Oct |
Lecture: DistributionsRead Ch 4-5 |

Thursday27 Oct |
Lab: Descriptives and distributions |

Friday28 Oct |
Datacamp assignment Introduction to R |

Sunday30 Oct |
End-of-week assignment Homework 1 |

## Week 2

**Focus:**Visualizing and measuring bivariate relationships

**End-of-week assignment:**Homework 2

Monday31 Oct |
Lecture: Scatterplots and correlationsRead Ch 6 |

Tuesday1 Nov |
Lab: Data visualization with ggplot |

Wednesday2 Nov |
Lecture: Regression foundationsRead Ch 7 |

Thursday3 Nov |
Lab: Regression in R |

Friday4 Nov |
Datacamp assignment Exploratory data analysis in R Introduction to Data Visualization with ggplot2 |

Sunday6 Nov |
End-of-week assignment Homework 2 |

## Week 3

**Focus:**Regression

**End-of-week assignment:**Homework 3

Monday7 Nov |
Lecture: Regression wisdomRead Ch 8 |

Tuesday8 Nov |
Lab: Tidyverse 101: Data cleaning and manipulation |

Wednesday9 Nov |
Lecture: Multiple regressionRead Ch 9 |

Thursday10 Nov |
Lab: Further regression in R (asynchronous) |

Friday11 Nov |
Datacamp assignment Introduction to Regression in R Introduction to the Tidyverse |

Sunday13 Nov |
End-of-week assignment Homework 3 |

## Week 4

**Focus:**Confidence intervals

**End-of-week assignment:**Midterm assignment

Monday14 Nov |
Lecture: Confidence intervals for proportionsRead Ch 13 |

Tuesday15 Nov |
Lab: Tidyverse 102: Intermediate data ops |

Wednesday16 Nov |
Lecture: Confidence intervals for meansRead Ch 14 |

Thursday17 Nov |
Lab: Sampling and confidence intervals |

Friday18 Nov |
Datacamp assignment Intermediate Regression in R |

Sunday20 Nov |
End-of-week assignment Midterm assignment |

## Week 5

**Focus:**Research design

**End-of-week assignment:**Paper analysis practice

Monday21 Nov |
Lecture: Research design I: Experiments and observational studiesRead Ch 11 |

Tuesday22 Nov |
Lab: Random vs. non-random sampling |

Wednesday23 Nov |
Lecture: Research design II: Natural experimentsReadings on Sakai (Explainers on Snow, Card and Krueger, and Dell; Introductions to Dell and Miguel, Satyanath and Sargenti) |

Thursday24 Nov |
Lab: Natural experiment applications |

Friday25 Nov |
Datacamp assignment Experimental Design in R (Ch 1-2) |

Sunday27 Nov |
End-of-week assignment Paper analysis practice |

## Week 6

**Focus:**Hypothesis testing

**End-of-week assignment:**Homework 4

Monday28 Nov |
Lecture: Hypothesis testingRead Ch 15 and 16 |

Tuesday29 Nov |
Lab: Hypothesis development and testing |

Wednesday30 Nov |
Lecture: Comparing groupsRead Ch 17 |

Thursday1 Dec |
Lab: Hypothesis development and testing II |

Friday2 Dec |
Datacamp assignment Hypothesis Testing in R (Ch 1-3) |

Sunday4 Dec |
End-of-week assignment Homework 4 |

## Week 7

**Focus:**Regression inference; reading research

**End-of-week assignment:**Paper analysis

**Final assignment due 14 December**

Monday 5 Dec |
Lecture: Regression inferenceRead Ch 20 |

Tuesday 6 Dec |
Lab: Running regressions and reading output |

Wednesday 7 Dec |
Lecture: Reading researchReadings are on Sakai (in the Week 7 → Wednesday folder) |

Thursday 8 Dec |
Lab: Review session |

Friday 9 Dec |
Datacamp assignment Inference for Linear Regression in R |

Sunday 11 Dec |
End-of-week assignment Paper analysis |

* ***The final assignment** is due Wednesday 14 Dec at noon

Click the week number to see additional details, including lesson goals and readings. I will update the course website and email you if we need to adjust the schedule during the semester.