This repository contains the computing bootcamp materials for incoming Ph.D. and M.S. students to the Department of Statistical Science at Duke University. These materials are adapted from those developed by Shawn Santo, Mine Çetinkaya-Rundel and Colin Rundel.
| Section | Topic | Video | Slides |
|---|---|---|---|
| Introduction | Welcome | 🎬 | 🖥️ |
| Duke Computing resources | 🎬 | 🖥️ | |
| OIT help | 🎬 | 🖥️ | |
| Department Computing resources | 🎬 | 🖥️ | |
| Department IT help | 🎬 | 🖥️ | |
| git & GitHub | GitHub account | 🎬 | 🖥️ |
| RStudio Workbench | 🎬 | 🖥️ | |
| Alternatives | 🎬 | 🖥️ | |
| Version control background | 🎬 | 🖥️ | |
| git config | 🎬 | 🖥️ | |
| GitHub and SSH | 🎬 | 🖥️ | |
| git / GitHub example | 🎬 | 🖥️ | |
| Best practices | 🎬 | 🖥️ | |
| RMarkdown | Reproducibility examples | 🎬 | 🖥️ |
| Reproducible workflows | 🎬 | 🖥️ | |
| Toolkits | 🎬 | 🖥️ | |
| Markdown | 🎬 | 🖥️ | |
| RMarkdown | 🎬 | 🖥️ | |
| Rmarkdown demo | 🎬 | 🖥️ | |
| Rmarkdown + git / GitHub | 🎬 | 🖥️ | |
| Demo wrap up | 🎬 | 🖥️ | |
| Jupyter | Python intro | 🎬 | 🖥️ |
| Launching Jupyter Lab | 🎬 | 🖥️ | |
| Jupyter demo | 🎬 | 🖥️ | |
| Jupyter + git / GitHub | 🎬 | 🖥️ | |
| Wrap up | 🎬 | 🖥️ |