Three reasons to learn R today

January 6, 2017

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

If you're just getting started with data science, the Sharp Sight Labs blog argues that R is the best data science language to learn today.

The blog post gives several detailed reasons, but the main arguments are:

  1. R is an extremely popular (arguably the most popular) data progamming language, and ranks highly in several popularity surveys.
  2. Learning R is a great way of learning data science, with many R-based books and resources for probability, frequentist and Bayesian statistics, data visualization, machine learning and more.
  3. Python is another excellent language for data science, but with R it's easier to learn the foundations.

Once you've learned the basics, Sharp Sight also argues that R is also a great data science to master, even though it's an old langauge compared to some of the newer alternatives. Every tool has a shelf life, but R isn't going anywhere and learning R gives you a foundation beyond the language itself.

If you want to get started with R, Sharp Sight labs offers a data science crash course. You might also want to check out the Introduction to R for Data Science course on EdX.

Sharp Sight Labs: Why R is the best data science language to learn today, and Why you should master R (even if it might eventually become obsolete)

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