- This training was an alright refresher for 'R programming'.

- Weekly quizzes for weeks 3 to 5 can be challenging, depending on your background

- The final course quiz/challenge at the end of week 5 was more pleasant to work my way through

Course had a lot of information and good links to outside sources for more readings, but it was difficult due to having issues with the website's embeded R, had to go to RStudio to figure out how to solve many questions.

This was very similar and easy understandable course that have good exercises, quizes and well prepared RMD files, sketches but this course doesn't contain any subjects from statistical data analysis with R programming.

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.

I liked the course as it was instructional and allowed me to practice a skill brand new to me. However, parts of the course felt outdated and low quality for the videos of today.

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.