The enclosed article shows an interesting view of the popularity of data analytics software based on LinkedIn and Quora.
Useful R resource for machine learning.
Reference: 10 R packages for Machine Learning
This article has a lot of good resources about data analytics tools.
Reference: Cheat Sheet: Data Visualization with R
R is an environment for programming with data, so unless you’re doing a simulation study you’ll need some data to work with. If you don’t have data of your own, the article made a list of open data sets you can use with R to accompany the latest release of Revolution R Open.
Reference: Open data sets you can use with R
If you look at recent polls that focus on programming languages used for data analysis, R often is a clear winner.
This list was originally published as part of the Computerworld Beginner’s Guide to R but has since been expanded to also include resources for advanced beginner and intermediate users. If you’re just starting out with R, I recommend first heading to the Beginner’s Guide. These websites, videos, blogs, social media/communities, software and books/ebooks can help you do more with R.
Reference: 60+ R Resources to Improve Your Data Skills
One of the common problems people face in learning R is lack of a structured path. They don’t know, from where to start, how to proceed, which track to choose? Though, there is an overload of good free resources available on the Internet, this could be overwhelming as well as confusing at the same time.
After digging through endless resources & archives, here is a comprehensive Learning Path on R to help you learn R from ‘the scratch’. This will help you learn R quickly and efficiently. Time to have fun while lea-R-ning!