Practical Data Science for Stats

September 1, 2017
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(This article was first published on Revolutions, and kindly contributed to R-bloggers)

PeerJ Preprints has recently published a collection of articles that focus on the practical side of statistical analysis: Practical Data Science for Stats. While the articles are not peer-reviewed, they have been selected and edited by Jennifer Bryan and Hadley Wickham, both well-respected members of the R community. And while the articles provide great advice for any data scientist, the content does heavily feature the use of R, so it's particularly useful to R users.

Practical-data-science

There are 16 articles in the collection (with possibly more to come?). Here are just a few examples that caught my eye:

There's lots more to explore in the collection as well, including case studies on using R at the likes of AirBnB and the New York Mets. Check out the entire collection at the link below.

PeerJ Collections: Practical Data Science for Stats (via Jenny Bryan)

To leave a comment for the author, please follow the link and comment on their blog: Revolutions.

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