I tried to begin with Coursera but their free trial also needs credit card details which i dont have. So if anyone can suggest me good tutorials to learn R programming.
We provide R Programming, Python, Machine Learning Training. For joining our course fill this online form http://www.eminentbio.com/home/Onlineform to know more about us.http://www.eminentbio.com/ or write us [email protected]/[email protected]/[email protected]
For the new bigenners there are lots tutorials recommended for them, but I can recommend this tutorial as a good starting:
https://cran.r-project.org/doc/manuals/r-release/R-intro.html#The-R-environment
Best
Before starting with actual R programming, you should familiarize yourself with some basics. I recommend the following tutorial (intended for researchers accustomed to SPSS, SAS, STATA etc.):
https://www.statmethods.net
If you have experience in another language such as C/C++ or Java, you might try 'R in Nutshell'.
I personally found MOOCs very helpful for R, especially some of the open projects and assignments given. I took the John Hopkins Data Science Specialization on Coursera (when it was still free!) but here is a list of some other MOOCs: https://digitaldefynd.com/r-programming-courses-certifications-tutorial-training/
I like https://www.datacamp.com/ as an addition. There are a lot of short and interesting projects to play along with.
Yevheniia Antoniuk 's addition (Thank you, I use and like this feature as well):
DataCamp also provides a free classroom plan if you teach. Maybe it will work for you also. Check here https://www.datacamp.com/groups/education
Want to add to Tobias M. Schifferle 's answer. DataCamp also provides a free classroom plan if you teach. Maybe it will work for you also. Check here https://www.datacamp.com/groups/education
We provide R Programming, Python, Machine Learning Training. For joining our course fill this online form http://www.eminentbio.com/home/Onlineform to know more about us.http://www.eminentbio.com/ or write us [email protected]/[email protected]/[email protected]
Here's an Amazing Series of 100+ R Programming tutorials that are absolutely free. My experience of learning from it is that this is one of the best R Programming tutorials available online. You get everything there.
Free R Programming Tutorials - https://data-flair.training/blogs/r-tutorials-home/
- R Tutorials
- R Codes & Practicals
- R Case Studies
- R Applications
- R Projects
- R Interview Questions
It covers everything that you must learn about the R Programming language.
I would suggest learning R through Coursera and EDX platforms.
you can start for example checking this online course:
https://www.edx.org/course/statistics-and-r
There is more than one site, but if you have a determination to learn it is not difficult ........
https://www.youtube.com/watch?v=eDrhZb2onWY
https://www.researchgate.net/publication/334274516_How_to_use_the_R_software
https://www.tutorialspoint.com/r/index.htm
this site is good for a beginner, and if you need advance tutorials, you just go to udemy there are a lot either free courses or paid courses.
R is a semi programming language that has a syntax similar to C or C++, but in order to you can easily for coding or developing your own function in R, It needs the basic skill in programming such as looping and conditional decision. don't afraid in making mistakes or syntax errors, they will give you valuable experiences.
A lot of sources, Datacamp is one of the best choices. There is various course modules, from beginner to advance. You can use two months subscription for free using https://my.visualstudio.com/ features, see https://www.presentslide.in/2019/09/free-datacamp-subscription-courses.html. If you are using Coursera, you can apply financial aid for free.
This link maybe useful for you :
https://www.kdnuggets.com/2016/03/datacamp-r-learning-path-7-steps.html
I have a fair number of books on R in pdf format. For example R in a Nutshell, editions 1 and 2, and also R for Data Science. You might try a Google search using something like R programming language filetype pdf. I tend to like books as they seem me to be complete references. One trick would be to look at the pdf and buy a copy of the book if you like it. I also have a pdf for the original paper by Ihaka and Gentleman (the authors of R) j. Comput. Graphics. Stats. 5, 299 - 314, 1996.
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