Good course to learn basics of R. It has a good mix between theory and practice.

R is a harder language than I had thought. This course explores key areas well.

Good material but a lot of time was required to complete the projects each week.

if you're a new programmer, it would be frustrated to strat with this course. ..

in this course review system is not good. Many student do not reply any other.

Good introduction to R basics, well integrated with swirl library and R Studio.

Overall good. Could have been bit better via adding few problem solving videos.

The assignments were harder compared to the topics dealt with in the lectures.

pretty good. But i suppose that the structure of this course is not very well.

I think overall it was a good course - but a little basic for a 4 week course.

Good course to learn R who plan to or are into data science/statistical field.

This course should have more assignments of R Programming. Remaining are good.

Nice course! Interesting assignments to practice the concepts seen during it.

I think it will be more helpful if you already have some knowledge on coding.

It was a fantastic course. I learned many things from this course . THANKYOU

Very good course. But there are a lot more fundamental topics left to cover!

I hope lecture materials will be design as close with the program assignment

Very nice course to learn the basics of R that is required for data science.

Very enriching course. Steep learning curve for beginner in the assignments.

Great course. However, more examples in the contents would be really useful.

Gap between assignments and what is taught is too wide for an online course

swirl practice is great but the professor seems to jump around very quickly

good, can we have mini project as well, so that we have more hands-on to R?

Very interesting and useful things that are necessary for every scientist.

This course indeed helped me to build a strong background in R programming