This schedule is subject to change, so please check it regularly. We will notify the class of changes that affect the upcoming week or any other major changes…
| Week | Topic(s) | Reading |
|---|---|---|
| 1 | Introduction | R4DS Ch. 1, 4, 6, 8, 17-21 DALS Ch. “Getting Started” |
| 2 | Data Wrangling | R4DS Ch. 5, 9-16 |
| 3 | Exploratory Data Analysis | R4DS Ch. 2, 3, 7 DALS Ch. “Exploratory Data Analysis” |
| 4 | Random Variables and Likelihood | AOS Ch. 2-3, 9.3, 9.13.2, 9.13.3 Optional: AOS Ch. 1 |
| 5 | Frequentist Inference | AOS Ch. 9, 10.1-10.4, 10.6, 10.8-10.10 |
| 6 | Bayesian Inference | AOS Ch. 11 |
| 7 | Numerical Methods for Likelihood | AOS 9.13.4 ESL Ch. 8.5 van Ravenzwaaij et al. (2016) |
| 8 | Nonparametric Inference | AOS Ch. 9.2, 10.5 NPS Ch. 2-3 |
| 9 | Statistical Modeling | AOS Ch. 13 DALS Ch. “Linear Models” |
| 10 | Statistical Modeling | ESL Ch. 5.1-5.6, 7, 9.1 NPS Ch. 4.1-4.3, 5.1-5.5 |
| 11 | Simultaneous Inference | AOS Ch. 10.7, 12.7 DALS Ch. “Inference for HD Data” Stigler (1990) Storey and Tibshirani (2003) |
| 12 | Dimension Reduction and Latent Variable Models | DALS Ch. “Distance and Dimension Reduction” DALS Ch. “Basic ML: Clustering” Leek and Storey (2007) |
| Abbreviation | Full Title |
|---|---|
| AOS | All of Statistics |
| NPS | All of Nonparametric Statistics |
| DALS | Data Analysis for the Life Sciences |
| ESL | The Elements of Statistical Learning, 2nd Ed. |
| R4DS | R for Data Science |
| Assignment | Due |
|---|---|
| Homework 1 | 11:59PM on Feb. 23 |
| Homework 2 | 11:59PM on Mar. 9 |
| Homework 3 | 11:59PM on Mar. 30 |
| Homework 4 | 11:59PM on Apr. 13 |
| Homework 5 | 11:59PM on Apr. 27 |
| Final Project | 5:00PM on May 16 |