Great course. But one note though, it is so annoying that the presenter wrote a code carelessly without adhering to the style guide of writing a code. It is hard to understand the code if you write it like a punk rebel.

I am happy and grateful for all the learning in this course, however, I am stumped with how to put it all together for the Capstone project. Excited to put all the learning to use, once I figure this final part out.

It was quite good for them who wants to learn the R programming language for being a data analyst . The only thing that I want to introduce that a Hindi or other language subtitles it makes it 5 star course for all.

It helps me to have some basic concepts and experience to do analyze in R. But in some weekly challenges quizs which needs to filling the code chunk sometimes can go wrong ，even i put the right code chunks in it.

Great pacing to the course. A wealth of external resources shared which was valuable.

Low audio to one of the videos in module 5. Course did not cover many statistics techniques with R programming.

Quite a useful course, and fairly easy to follow. Having some kind "chat" function to help in certain places would make this course much better. Not sure if that's possible, but that would be ideal.

Content was fine. This instructor had some troubles reading sometimes, and for me she was a bit boring. However, I think it was a very good introduction to R and the functions that might be useful!

I thought that explanations of coding were clear and it seems that the basics were covered well though some more in-depth projects that mimic real-world work scenarios might have been helpful.

compared to the other modules in the course, this one was a little bit unorganized and the video quality was not that good. it felt like they were in haste to finish it before us, the learners.

It was a new experince and a new feild for me, all the instructors or facilitators were amazing, encouraging me with their persona;l experance. the fact that it is self paced made it better

Some of the information may have changed since the original recording, so I had to look up some details in the forums in order to understand what was different and how to make it work for me.

A very well structured intro to R programming language

It is what it says, nothing more nothing less.

Really good start to understand the basics of the language and how it functions as a whole.

It was an excellent introduction to R Programming, but even for someone who studied Math, it was a little too fast-paced and considered that some without mathematical skills would struggle.

its a great opportunity for the student like me to learn r programming and go through the samples and practice at the same time. thank you google and R community for such wonderful effort.

It was great course for beginners but I still think there must be some more explanation to few topics. The instructor was really good she knows how to perfectly explain difficult parts.

it would be better if some more packages like tidyquant , plotly , pacman, etc are explained...

also creating custom funtions was not explained...

loops (for,while,etc) didn't explained.

This is the hardest part of the whole certification if you don't have any R experience. However, it's a good course to let you know R and master the basic skills of the R language.

Very well integrated with the R programming environment. I especially liked the lessons that took place in R Markdown Notebooks. This stood out from the rest of the curriculum.

Excellent course for anyone who is thinking of data analytics mastery - both beginners and intermediate. The modules are well developed inrementally from general to specific.

It is a beautiful start but it will give you only some of the R knowledge you need, well done Google. Dear students, you need a backup course for your data analysis career.

Phenomenal outline and information videos as well as readings. I enjoyed learning about R programming and cannot wait to continue working on my data analytics certificate.

One thing is that we were not taught how to merge datasets using R. This is the one crucial thing that i've found to be missing in this course. Otherwise, very good.

This course is really helpful to improve my skills on R Programming, and those skills will be really helpful to improve my analytics skills in my research projects.

I had no idea about R programming language but after completing Data Analysis With R Programming now I knew that how to analyze, organize, and visualize a dataset.

If you encourage students to build their capstone project in Kaggle, it'd be helpful to spend more time teaching students how to a case study or analysis started