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Getting Started
A few resources that ensure you'll hit the ground running on week 2:
If you are taking this course, you are probably not new to R. But if you need a handy refresher, make sure to revisit some of these resources:
Even if you're not new to R, you may have started to encounter things you simply cannot understand. Do not despair, there is a way out of the The R Inferno. If you want to delve deeper into the structure of R to leverage it better with your coding, make sure to consult the first few chapters of Advanced R
Slack is a very common communication tool in the DS world, especially appreciated for its ability to integrate with a number of tools and applications.
Although it is pretty intuitive to use, but it never hurts to browse their Getting Started and Video Guide pages. Alternatively, Slack has a very useful New User Checklist to point out some useful resources.
Slack works on Markdown, so you may want to check out some gimmicks to format your messages.
You may also want to explore one or two pieces commenting on Slack etiquette.
GitHub has done a great job of putting together and facilitating resources to make it easy to use (once you've understood it). It's not entirely intuitive at first, so you may want to start with some of these resources, and immediately get to play around with it.
- GitHub Help is a great place to start at the source
- git - the simple guide which is a perfect intro to GitHub
- Try Git a hands-on tutorial put together by CodeSchool and GitHub
- the YouTube channel GitHub training series
- Git Reference guides put together by the GitHub team, including a Git Cheasheet
It's also quite simple to integrate GitHub with RStudio, you can read more in Chapter 13 of R Packages.
QMSS GR5069 - Topics in Applied Data Science for Social Scientists.