box2_web.Rmd

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 - **Use online resources for self-paced learning**  
Online resources like books, tutorials, slide decks, archived webinars, and presentations provide in-depth philosophies and hands-on examples great for initial learning as well as for reference later on. 

- **Learn together by joining and/or creating communities**  
Discuss academic articles or watch webinars during lab meetings, journal clubs, lunch, or happy hours.
Additionally, join or keep tabs on communities online.

- **Ask for help**  
Expect that someone has already asked your question and learn to look for what they asked and which responses seem useful. Copy-paste your error messages directly into Google.  

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- **Attend in-person workshops and conferences**  
Take a bootcamp to learn skills for research computing, and attend conferences both for skill-building and to see examples of how others use these tools.  

- **Read blogs**  
There are many individuals who blog about open data science concepts, `R` packages, workflows, etc. Try Googling a package you’re using, or going to the website of someone you are following on Twitter.

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