Beginning Data Science with R by Manas A. Pathak, Springer

Why we should start learning R for getting into data science…

Compudicted

Beginnng Data Science With R

Continuing on with the Springer series on Computational Intelligence and Complexity I picked another book on the ever increasing in popularity R.

Besides, I read already several books from other publishers in 2014. The books were aiming at different levels, and at people from different professional backgrounds. Myself, a data practitioner, positioned rather away from being a data scientist, sitting closer to the server side, with periodic ETL or Business Intelligence development tasks at hand professional I started to realize the times have changed: each new project requires new depth and breaths of data analysis. Using Excel and its data add-ons does no longer cut it in. I was aware of tools as MATLAB, SAS and SPSS, but boy they cost!

I was always in love with data, linear, discrete algebra and statistics in general so for me R came to the natural choice. Learning tools as R (not just a…

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