1 Syllabus
1.1 Background
- Lead Data Scientist for Statistical Computing at the Urban Institute
- Adjunct Professor in the McCourt School of Public Policy at Georgetown University
- American Statistical Association Traveling Course Instructor
1.2 R Projects
- Synthetic data generation (rstudio::conf(2022) talk about
library(tidysynthesis)
) - Formal privacy/differential privacy evaluation (code) (arXiv)
- Projects that iterate with R Markdown
- Manage the Urban Institute ggplot2 theme (Examples) (Code)
- Urban Institute R Users Group
1.3 Questions for You
- What types of analyses do you develop?
- What is your programming experience?
- What are you most interested to learn?
1.4 Outline
Process
- Please ask questions at any time.
- I need to know how you are doing. Please ask lots of questions and give your reactions.
- I will check in during breaks about pacing and content.
Goals
- Enthusiasm
- Develop a firm foundation with tools for reproducible research
- Leave with enough understanding and resources that you can apply the covered material to your own work
- You will still need to look stuff up!
- I will try to give you hints for where to find help