R is an open-source data analytics and data visualization software program. It is used for statistical modeling, both linear and non-linear, usual statistical tests, time-series analysis, and clustering, etc. That means it is free and recognized by even peer-reviewed science journals. It was developed by Ihaka and Gentleman in NewZealand. However, you need to give commands unlike in other statistical programs such as SPSS. An exceptional advantage of R scripts that you create can be shared by others. So, we can make other lives much easier.
This is a product developed by contributions from extraordinary people living all over the world. The program – known as “R and R” – was initially written by Robert Gentleman and Ross Ihaka off the Statistics Department of the University of Auckland.
You can obtain more details by entering into its home page: https://www.r-project.org/.
Free learning programs
There are excellent free learning programs from reputed organizations including Microsoft itself. And, if you want to obtain a formal certificate you can get that too. Furthermore, there is a very active R community and you can join their email list like me.
Do you want to know how to download R?
Go to this link from Cousera:https://www.coursera.org/learn/data-scientists-tools/lecture/y6mU2/installing-r.
Note that Coursera too provides a large number of programs free.
EDX R programs
This is what you have to do;
- Go to the EDX website: https://www.edx.org/.
- register for their programs free.
- type “introduction to R for data science:https://www.edx.org/course/introduction-to-r-for-data-science-2 (They run the program with DataCamp)
- There is another program by Havard too.
- Start doing the course at your own pace, totally free.
- If you need a certificate, you need to pay, of course.