online learningLast week, I took you through the benefits of R, how it is becoming a powerful tool in the data analytics industry and why it’s an essential skill for data analysts. Owing to its growing popularity, it is relatively easy to enhance your understanding of R, as there are several resources available freely both online and offline.

Let us now look at some of the best resources on R out there, as well as some popular training options:

Some of the best free resources on R

  1. Those who know SAS would have heard about UCLA reference site for SAS. Similarly they maintain an R help site which is a useful resource for learning R basic and advanced topics : http://www.ats.ucla.edu/stat/r/ 

  2. This is for the video lovers as in who like to watch and learn rather than by read and learn. It has a nice collection of R videos, each video not more than 2 minutes :http://www.twotorials.com/

  3. For those who are crunched for time and want to get going with R in just 2 days, Its Worth a try http://faculty.washington.edu/tlumley/Rcourse/

  4. This one is a good source for learning about executing statistical functions using R. It covers descriptive statistics, probability distributions, ANOVA, hypothesis testing applications with help of R software http://zoonek2.free.fr/UNIX/48_R/all.html

  5. This one is for visualizations and showcases different ways of graphing using R. It will be quite handy when one is confused about the kind of plot they want http://www.yaksis.com/posts/r-chart-chooser.html

  6. If you are already from a programming background, then this resource is quite handy. It talks about comparisons of R language with other languages in terms of syntax,objects, coding etc
    http://www.johndcook.com/R_language_for_programmers.html#misc

  7. This one is for those who would learn by examples.
    http://www.mayin.org/ajayshah/KB/R/index.html

  8. These set of videos are shared from a Coursera Course taught by Roger Peng as part of “Computing for Data Analysis ” course: https://www.youtube.com/user/rdpeng/videos?flow=grid&view=1

Some of the best books, blogs and communities
Blogs:

  1. Find new R blogs you didn’t know about- especially if you look at the “top articles of the week” box on the home page. http://www.r-bloggers.com/RDatamining

  2. A Beginner’s Guide to R  http://www.computerworld.com/s/article/9239625/Beginner_s_guide_to_R_Introduction
  3. A lot of interesting things to learn from here: http://blog.revolutionanalytics.com/

  4. To understand data visualizations in R with examples this is a good blog : http://www.analyticsandvisualization.com/p/blog-page_7.html

Communities:

Statistics and R on Google+. Various knowledge threads between experienced and new candidates happen here .

Twitter #rstats hashtag. Level of discourse here ranges from beginner to extremely advanced, with a lot of useful R resources and commentary getting posted.

You can also find R groups on LinkedInReddit and Facebook, among other platforms.

Stackoverflow has a very active R community where people ask and answer coding questions. If you’ve got a specific coding challenge, it’s definitely worth searching here to see if someone else has already asked about something similar.

There are dozens of R User Meetups worldwide. In addition, there are other user groups not connected with Meetup.com. Revolution Analytics has an R User Group Directory.

Books:
1. RCook Book – By Paul Teeter

This book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression

2. R Graphics Cook Book – By Winston Chang

This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression.

3. R in a Nutshell – By Joseph Adler

If you’re considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open source R language and software environment. You’ll learn how to write R functions and use R packages to help you prepare, visualize, and analyze data.

Paid trainings
1. Jigsaw AcademyThe advanced Analytics with R course is taught by industry experts. You can learn how to use R for data manipulation and predictive modeling.
2. UdacityLearn exploratory data analysis with R
3. Coursera R ProgrammingLearn how to program in R and how to use R for effective data analysis
4. Edureka Business analytics with RThis is a 6-week course for professionals who aspire to learn ‘R’ language for Analytics
So what are you waiting for! If you have still not mastered this powerful language now is a perfect time to start!
Image credit: http://www.freedigitalphotos.net By ddpavumba
Related Articles:
The Power of R – And Why it’s an Essential Skill for Data Analysts
Examples of How R is Used
Handling Big Data Using R
 

Interested in a career in Data Science?
To learn more about Jigsaw’s Data Science with SAS Course – click here.
To learn more about Jigsaw’s Data Science with R Course – click here.
To learn more about Jigsaw’s Big Data Course – click here.

 
 
 

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