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
| Monday 24 Oct |
Lecture: Course foundations Read Ch 1-3 (quiz due Wednesday noon) Review syllabus (quiz due Wednesday noon) |
| Tuesday 25 Oct |
Lab: RStudio and RMarkdown 101 Install R and RStudio ahead of the lab Set up your Datacamp account (see email) |
| Wednesday 26 Oct |
Lecture: Distributions Read Ch 4-5 |
| Thursday 27 Oct |
Lab: Descriptives and distributions |
| Friday 28 Oct |
Datacamp assignment Introduction to R |
| Sunday 30 Oct |
End-of-week assignment Homework 1 |
Week 2
Focus: Visualizing and measuring bivariate relationships
| Monday 31 Oct |
Lecture: Scatterplots and correlations Read Ch 6 |
| Tuesday 1 Nov |
Lab: Data visualization with ggplot |
| Wednesday 2 Nov |
Lecture: Regression foundations Read Ch 7 |
| Thursday 3 Nov |
Lab: Regression in R |
| Friday 4 Nov |
Datacamp assignment Exploratory data analysis in R Introduction to Data Visualization with ggplot2 |
| Sunday 6 Nov |
End-of-week assignment Homework 2 |
Week 3
Focus: Regression
| Monday 7 Nov |
Lecture: Regression wisdom Read Ch 8 |
| Tuesday 8 Nov |
Lab: Tidyverse 101: Data cleaning and manipulation |
| Wednesday 9 Nov |
Lecture: Multiple regression Read Ch 9 |
| Thursday 10 Nov |
Lab: Further regression in R (asynchronous) |
| Friday 11 Nov |
Datacamp assignment Introduction to Regression in R Introduction to the Tidyverse |
| Sunday 13 Nov |
End-of-week assignment Homework 3 |
Week 4
Focus: Confidence intervals
| Monday 14 Nov |
Lecture: Confidence intervals for proportions Read Ch 13 |
| Tuesday 15 Nov |
Lab: Tidyverse 102: Intermediate data ops |
| Wednesday 16 Nov |
Lecture: Confidence intervals for means Read Ch 14 |
| Thursday 17 Nov |
Lab: Sampling and confidence intervals |
| Friday 18 Nov |
Datacamp assignment Intermediate Regression in R |
| Sunday 20 Nov |
End-of-week assignment Midterm assignment |
Week 5
Focus: Research design
| Monday 21 Nov |
Lecture: Research design I: Experiments and observational studies Read Ch 11 |
| Tuesday 22 Nov |
Lab: Random vs. non-random sampling |
| Wednesday 23 Nov |
Lecture: Research design II: Natural experiments Readings on Sakai (Explainers on Snow, Card and Krueger, and Dell; Introductions to Dell and Miguel, Satyanath and Sargenti) |
| Thursday 24 Nov |
Lab: Natural experiment applications |
| Friday 25 Nov |
Datacamp assignment Experimental Design in R (Ch 1-2) |
| Sunday 27 Nov |
End-of-week assignment Paper analysis practice |
Week 6
Focus: Hypothesis testing
| Monday 28 Nov |
Lecture: Hypothesis testing Read Ch 15 and 16 |
| Tuesday 29 Nov |
Lab: Hypothesis development and testing |
| Wednesday 30 Nov |
Lecture: Comparing groups Read Ch 17 |
| Thursday 1 Dec |
Lab: Hypothesis development and testing II |
| Friday 2 Dec |
Datacamp assignment Hypothesis Testing in R (Ch 1-3) |
| Sunday 4 Dec |
End-of-week assignment Homework 4 |
Week 7
Focus: Regression inference; reading research
| Monday 5 Dec |
Lecture: Regression inference Read Ch 20 |
| Tuesday 6 Dec |
Lab: Running regressions and reading output |
| Wednesday 7 Dec |
Lecture: Reading research Readings 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.