R for Data Science: Learn R Programming in 2 Hours (Udemy.com)

Explained simply and in a way that is easy to understand, even for non-native speakers. The course superficially covers the basic knowledge for R, but more is not possible in 2 hours. So it's a good place to start. R's interface could be explained in more detail and the presentation could be a little prettier. The latter is optional ;)

It was a wonderful experience. Being a student of statistics, data science always fascinated me. Ajay sir is a patient and helpful teacher. He explained everything step by step and the course itself is perfect for beginners who want to familiarize themselves with R programming.

Best teacher for practical people: extremely straight to the point. Do not be fooled by small amount of hours in his lectures, it's so dense you could have a test every 3 minutes. Of course you have to take your time to actually understand the concept, but its great!

It does not teach basic programming concepts like for/while loops, conditionals , functions etc... But, as the teacher answered me, it a data science oriented course, so I'me adding one more star, bacause it covered those importante DS topics very well!

I actually found the course to be useful. It provided some great foundations. The only issue I had was the section on visualization. Maybe I'm being picky, but using the graphics package (as opposed to ggplot) just doesn't capture the attention of the audience. Sure, it's functional, but I'm not sure how helpful that will be for someone looking to hit the ground running with what they're learning. Otherwise, a very good intro course on R.

Busco como bajar datos de la web en R sobre el API, como el ejemplo que vimos además de de hacer "scraping-in-r-rvest". El ejemplo que se mostro lo pude realizar, pero cuando tengo en las páginas me muestran los iconos para bajar los archivos donde puedo ver como bajar los archivos y también como hacer el scraping.

Informative and attractive explanation. It starts from the basics of R. One thing that must be added is the explanation about the RStudio interface. Because this is a basics course, so that is extremely important. A 2-3 min video on RStudio will make the introduction just perfect. This is one of the most concise and perfect introductory R programming course on Udemy.

Excellent course, very well explained and really simple. I had almost no previous experience with R or programming and now I don't have anymore the feeling that it is too complicated for me. Now I know that I can learn it and use it.

Exactly like what it says on the description: this is an easy intro to R. Once you've completed this, you should then set yourself a data science project of your own to apply the skills you've learned in this course. Will recommend for busy professionals or undergraduate students who need to grasp R quickly for hobby projects. If you intend to use R for more professional and post-graduate level work, you will need to use other resources, but you can use this as a 2 hour crash course to get running quickly.

The content and lectures on the R tool's coding part is very good but a little more could be added on data science since you got an excellent way of teaching and your sequence of coverage is fabulous! Thank you :)