Everything in the course is very fine except the last Project, which barely has anything to do with the course lecture contents and instructions, and which does not have very clear instructions/requirements - I largely misunderstood what I was supposed to do.

Concise introduction to the field, easy to grasp and hands-on. A bit shallow on the theoretical side (optional material would be nice), you just learn what you need and no more. Practical assignments are well designed and give you a great introduction to R.

I had some statistics background in my undergraduate training. While my primary focus of taking this course was learning R, I manage to learn some new things too. Through the course, I was able to learn very basic codes and would love to continue to do so.

The materials and lectures were very good and detailed regarding probabilities and data. I felt the difficulty of the final project (in particular with regards to the R component) was not adequate for a beginners course and it required a lot of research.

The course alone is great, the only problem is the final project, which depends on peer reviews. It is plagued by plagiarism and delays. I myself managed to complete the course in 2 days, but I had to wait 4 until my final project was evaluated.

A perfect course for the introduction to the world of Statistics. I will try to improve upon the review with my further studies and try to look at anything that you might have missed but so far it looks like this course covers all the bases.

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.

Really appreciated the course - its depth and the exercises! The focus was very much on statistics/ probability, and not so much on R. I had hoped for more R content - but maybe that will be the case in future courses!

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.