Resources
Cheat sheets, references, and external links
On this site
- Git cheat sheet for the commands covered in Sessions 4 and 5.
Software downloads
References
- Pro Git book, free, comprehensive, by Scott Chacon and Ben Straub.
- Happy Git and GitHub for the useR, Jenny Bryan’s tutorial pitched at R users.
- Quarto documentation for the publishing system that builds this site.
- Wooldridge R package for the classic textbook datasets used in our examples.
Free Anthropic courses on Claude and AI
These four self-paced courses are hosted on Anthropic’s Skilljar platform. All are free and offer a certificate of completion. They complement Sessions 6 to 8 well, but the AI Fluency course is worth taking before Session 6 if you have time.
- AI Fluency: Framework and Foundations. Practical AI literacy course developed with academic partners (UCC, Ringling College). Introduces the 4D framework (Delegation, Description, Discernment, Diligence) for using AI effectively, ethically, and safely. About 1.1 hours of video plus exercises. Tool-agnostic.
- Claude 101. Foundations for using Claude in everyday work. Five modules across Chat, Cowork, Code, Projects, Artifacts, Skills, and Connectors. Aimed at every knowledge worker, not only developers. Good starting point if you have never used Claude.
- Introduction to Claude Cowork. Hands-on introduction to Cowork mode, the desktop app that can read and edit your files and run code. Covers the task loop, plugins and skills, file workflows, and how to steer multi-step work responsibly. Direct companion to Session 7.
- Claude Code 101. Aimed at people new to AI coding agents. Walks through installation and the Explore-Plan-Code-Commit workflow Claude Code uses. Direct companion to Session 8. Hands-on exercises require a Claude Pro/Max plan or a valid API key.
Cornell-specific
- Cornell Statistical Consulting Unit.
- Cornell Data Services for research-data planning, management, and sharing support (housed in Cornell University Library).
- Cornell Center for Social Sciences (CCSS) for the CISER Data and Reproduction Archive, the Federal Statistical Research Data Center, and the Regulated Research Environment for restricted data.
- Results Reproduction (R-squared) at CCSS, a service that computationally reproduces your code and results before journal submission. Functions as enhanced proofreading for data and code, a direct fit with Sessions 2 and 3.
- Cornell Center for Advanced Computing for HPC and cloud resources.
- Cornell Library A–Z Databases for the master list of databases licensed across all Cornell libraries.
- Cornell Management Library databases for the business and economics subset of the A–Z list, licensed through the SC Johnson College of Business.
- USDA Economics, Statistics and Market Information System (ESMIS) hosted at Cornell’s Mann Library, with roughly 2,500 USDA reports and datasets going back to the 1850s.
- Newly Available Datasets for Research at the Cornell SC Johnson College of Business, slides by Jura Liaukonyte. Catalog of recently licensed datasets across consumer transactions, geolocation, real estate, construction, and climate.