The theoretical and practical part is very good, but in the project there are a lot of practical question to confront basically alone, without the needed help. The things were functioning in an unknown way... It was hard - at least to me.

Great self-paced course along with good reason material. The project assignment needed a lot more than the 2.5 odd hours that were estimated. Give yourself more time for the assignment and practice the RStudio assignments in earnest.

Some tests and activities have more complexity related to the content, but the Forum is an excellent way to search for guidence. Overall a great course to start working with R and to know the basics of Probability and Statistics.

This was a good course. Only missing one star because I feel that there were ways that aspects could have been better, primarily in clarity on the capstone project at the end. Generally really enjoyed the course and recommend it!

The course is well structured, and the Professor is really good in explaining also complex topics. I had only some difficulties with the final project in R since I thought that more basic information were provided to the students

While the final project was a little unclear in terms of its parameters and there were several small file problems, this was overall a very well constructed course, especially in terms of its content before the final project.

Solid course! You will have to do work outside of what is provided to learn R if you don't have programming knowledge prior. HOWEVER, the final project is when you will really learn how to use the software - learn by doing!

Course was great, except for the final project which takes much longer to complete than it says, and requires a lot of outside research on how to use R to be able to finish. Other than that very informative and affordable!

It takes many more hours to complete the work than the estimates provided. For example the final project took me about nine hours, versus the 2.5 hours listed.

Still, a well-rounded course and it has already proven useful.

The content is very well structured, the explanations are clear and full of useful examples. Some concepts were a bit difficult to grasp and required reviewing outside the material of the course. In general, excellent.

The reading assignments were incorrect due to updated book. The instructions for completing the assignment lacked some necessary information that would have made the class less frustrating. Overall, I learned a lot.

The teacher teaches well, even non-English speaking students can still hear very clearly. Since I am already statistic graduated students, so the content is very basic for me, but I still think it is very useful.

It should go deeper in teaching R and how the logic on coding works. Moreover, it should teach how to learn and apply new codes, since the final project demands more coding than what was in previous lessons.

The concepts are taught very clearly and thoroughly, but they leave you hanging out to dry a bit with R. R is not an easy program and they could do a little more hand holding in this *Introductory* course.

If you have prior knowledge of R, then this course will help to brush up your statistics. The pacing of the material is very good. The examples used are relevant and interesting. Great course in general.

Good basic course in probability and R! Lectures were really clear and with good examples. I only wish there were more teaching on R coding, as it was a big leap from the R tutorials to the final project.

Great coverage of basic statistics and R. Lots of room to experiment and fairly responsive forum boards. Main way to improve is to somehow allow for more discussion between classmates as well as mentors.

The course is excellent. The only drawback it is the peer review assignments. After you finish your assignment you need search for peers to review your and ask at least three people to do this for you.

The instructions for the final project need to be much clearer. I had a hard time figuring it out, and all of the projects I peer-edited were done poorly. Otherwise, I enjoyed the course very much!

Good but questions lacked clarity in what is expected. i.e. "Work out the Boy to Girl ratio" - in what fashion do we do this, as it appeared to be the same as simply working out the "proportion of b

A good introductory course to data analysis, statistics and the R programming language. Recommended to people who are new to data analysis and also those who are experienced and could use a refresh.

The only thing I may have not liked in this course is that they do help you in forums and that kind of stuff but a little video for your first R assignment with some of the R basics would be great.

They could have touched more R. Otherwise everything is fine. But it is very easy to clear the course. Even the peer reviewed assignment is wrongly reviewed many times whether positive or negative.

The lectures were very clear and concise and the examples were very relevant. Some of the R instructions left a little something to be desired, but nothing a little time and google couldn't solve.

The contents of the course about statistics are friendly to the beginners and easy to understand, however, the R learning is a little bit hard to those who have no computer or coding background.