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I'm flattered to see Data Science at the Command Line next to these great titles, but I'm not sure if I would recommend it to learn the basics of data science.
by jeroenjanssens 10y ago
I'm flattered to see Data Science at the Command Line next to these great titles, but I'm not sure if I would recommend it to learn the basics of data science.
DSATCL discusses the ideas behind various cleaning and visualization approaches and several machine algorithms, but only briefly. My personal recommendation would be to first gain some experience with these topics using Python and/or R. If you're afterwards curious to find out how the Unix command line can help to do data science, well, then there's only one book I can think of! ;)
- dasboth 10y agoI agree. I'd start with something like Joel Grus's Data Science From Scratch to get a handle on the basics in Python (or whatever the R equivalent is, I'm not familiar with R books). I do however find myself more and more wishing I knew data science-specific Unix commands, and I think I know what book to get to solve that problem... :)
- nthot 10y agoR for Data Science is a good R equivalent by Hadley Wickham. It also acts as a high level overview of the hadley/tidy verse (ggplot2, tidyr, dplyr, etc.). R4DS is free online [1]. [1] http://r4ds.had.co.nz/ http://r4ds.had.co.nz/
- samkone 10y agoTrue. But still I really love your book. Read it, and still reading to speed up many things. Are you planning another version?
- jeroenjanssens 10y agoThanks! I must admit that the thought has crossed my mind. However, these days all my time is spent consulting and giving training so I can't make any promises.