A snapshot of the Fall 2018 version can be found here, and snapshot of the Fall 2019 version can be found here.
Recorded sessions available on YouTube here.
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Lecture 1 What is R? A motivating example of data viz
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Lecture 2 Data wrangling fundamentals
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Lecture 3 Automatic docs with Rmarkdown
This year's presenters: @NataliaZemlianskaia, @erickawaguchi, and @XUKEREN. With the support of @lailylajiang @AbigailHorn, @EmilHvitfeldt, @malcolmbarrett, and @gvegayon.
Website: https://github.com/USCbiostats/rbootcamp
This boot camp has as main goal to give a general overview of scientific computing, and in particular, on the R programming language. It is divided in 3 presentations.
We will be using R and RStudio
Wickham, H., and Grolemund, G. (2017) R for Data Science: Visualize, Model, Transform, Tidy, and Import Data. O'Reilly Media. (free online)
Wickham, H. (2019) Advanced R, 2nd Edition. CRC Press. (free online)
Peng, R. (2016) R Programming for Data Science (free online)