Members of the cyberinfrastructure team have scoured the web for resources and tutorials to help you identify and learn new data skills.
| Topic | Link | Environment |
|---|---|---|
| Basics/Syntax | R for Journalists | R |
| R Tutorial | R | |
| 2 Minute Tutorials | R | |
| The Unix Shell | Shell | |
| Language | Hadley Wickam's Advanced R | R |
| swirl; Learn R in R | R | |
| Programming with Python | Python | |
| Statistics | Mark Gardener's Statistics Tutorial | R |
| In-depth Introduction to Machine Learning | R | |
| Visualizations | Graph Catalog | R |
| Graphics Cookbook | R | |
| Comprehensive ggplot Gallery | R | |
| Producing Simple Graphs | R | |
| Geospatial Data | Introduction to Rasters | R |
| Soil Science | List of Open Source Software Tools | Various |
| Version Control | git Tutorial | Shell |
| Web Scraping | Requests and BeautifulSoup | Python |
| Cheat Sheets | Unix/Linux | Shell |
| RStudio IDE | R | |
| R Markdown | R | |
| R Markdown Reference Guide | R | |
| Data Visualization | R | |
| Package Development | R | |
| Data Wrangling | R | |
| RShiny | R | |
| Full Course | Jenny Bryan's Stat 545 | R |
Many additional topics are available through the following websites or organizations. These are geared towards providing a lot of training material, which the cyberinfrastrucutre staff may be less familiar with.
If you are looking to participate directly with a larger network of scientific coders, good starting points are the R-bloggers and rOpenSci communities. Finally, if you cannot find a resource for a particular topic that's written for your preferred environment, reach out to the cyberinfrastructure team at cyberhelp@sesync.org.