Four Years of Practical Data Science with R

April 4, 2018

(This article was first published on R – Win-Vector Blog, and kindly contributed to R-bloggers)

Four years ago today authors Nina Zumel and John Mount received our author’s copies of Practical Data Science with R!

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It has its imitators, but it remains the best “I have R, now what do I do with it?” book (as it works the user through non-trivial projects, analyses, presentations, predictive analytic, data science, and machine learning applications).

All of the code and data used in the book is publicly available here, (including zipped-up examples from the book, and up to date re-runs of those examples). We recently got a few new translation of the book Hangul/Korean to go with the earlier Simplified Chinese. We also have a number of current teaching and training projects extending and using our material (yey!).

To leave a comment for the author, please follow the link and comment on their blog: R – Win-Vector Blog. offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

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