This is a useful statistical course for anyone who seeks to gain a basic understanding of probability. The R coding assignments are especially useful but one could benefit more if they already knew how certain functions works in R. The dplyr package is especially emphasized and I suggests going to Youtube to know the main functions that are used for data wrangling.

It is a good introductory level course and I appreciate the instructor's hard work. Two suggestions though. It would be more convenient for us, if you could compress all the lecture slides into one or four files. Besides, peer reviewed project was less unsatisfied. I would prefer to receive grades and comments from the lecturer or mentors, even if pay for it.

Solid and efficient introduction to content, does not do enough teaching in R for the final project - which is *fine* because finding things out for yourself is the best way to learn, but R help online is often so dense that it's not that helpful to a beginner. More responsive mentors - especially nearer the end of the course - would be really helpful.

This course is a very good introduction to statistics. The lectures are well paced and engaging. The reading materials augment the lectures nicely by providing more details and workable exercises. There is a new edition of the reference book and the lecture material has not been updated to match the new edition, but the previous editions are available.

Very good course on Statistics with application in the R programming language ,a great intro for anyone who want to understand statistical concepts used in research , data science.

Although the course require no background in R , I would advise to take an introduction in R programming before hand in order to be able to finish the final project easily .

In my opinion, the final assignment could have been more effectively and meaningfully answered if students have had prior knowledge in data wrangling/ cleaning in R. I don't think this information was made known throughout the course. Otherwise, this course provided a good overview on the fundamentals of basic statistical visualisation and analysis!

It was very helpful, I like the course rhythm, how they constructed in a systematic way, I have really learned a lot!

however! As new to R, it took me too much time figuring out some very basic operations, I don’t feel I can get efficient help about technical problems here. If there were some video instructions about R, would ne very very nice.

The course content, resources and teaching were very good but the course is much more demanding than advertised. The course was advertised for Beginners but in truth it is much more for students of Intermediate Skill and Experience. As a working adult I would have preferred more realistic, expected completion timelines for the tasks.

The course was good but I found the final project to be quite disjoint from the course work. The course included a lot of normal approximation to binomial distribution and calculating probabilities based on binomial draws. The final project seemed very much directed towards looking for correlations in data and mastering ggplot2!

The content is pretty good especially with the concepts well-explained by Dr. Mine, in my opinion, which is much better than John Hopkins' series. However, the R programming assignment is not designed for beginners and it's quite often to get stuck at the final project. For this reason, I gave 4 star for this course.

When reviewing peer assignments I got the impression that many of them (2/3 of my reviews) knew the review questions before submitting their work. This was kind of annoying when reviewing because I got the impression that I was not reviewing a research study on the data but instead a question and answer document.

Good professor, good exercises to review what you've learned.

My only complaint - if considered that - is that R was difficult for me to learn and work with, especially when I'll be using SPSS for my own statistical needs moving forward. I'd like for there to be an option within the course to use SPSS instead of R.

Good introductory course, nicely blending stats and R-coding.

The R-coding is a "take the plunge" approach (with a good example to help before the final assignment): this creates first some pain for those who knew nothing about R at the beginning of the course, but this makes for very good practise in the end.

I learned a lot of this i should have known during earlier statistics courses. The founding knowledge is well laid out and structured. The pace made me feel both fully in control and slightly out of depth at the same time. This made it an interesting course that made me race through it (in a positive way).

Good overview. My only misunderstanding was about the Markdown document that wasn't functional until I changed the format (bottom right in the source, as R Markdown) and the "knitting" that I still haven't figured out. Otherwise very clear, and lots of great examples to illustrate and fix the knowledge.

Very good introduction to statistics, even for those already forgot maths.

Do not take this course as introduction to R. The course does not explain basics of R (e.g. lists vs vectors, data_frame vs data.frame). I'd suggest anyone to take an introduction to R first or simultaneously with this course.

Good statistic cource with some practice in R-studio. Would like to see more tasks to do. If you start this course be sure you are DOING all exrersises the recommended book offers. A bit challanging final project without proper goal, got to aks for help do find out how am I supposed to deal with it

This is a nice intro with some good lectures. My only criticism is that the estimated reading times and the estimated time for the week 5 projects were way off, for me at least. I suspect that, if you're starting from scratch at stats, they will be way off for you as well.

I would separate my feedback en two ways. First, I think is a good basics statistics course. but second, I feel is a bit weak in R topics. Its mean, it does not prepare you well for the last project. It could be stongest in R codes, plots, etc. througth the first 4 weeks.

i learned a lot, teacher explains very very well, but honestly i would not mind if there was a little more help with Rstudio, before this course i had never use the programme and that was a little bit hard for me, i had to see lots of extra videos to learn a little more.

In general , I think this course is very useful and is well designed, I've learned a lot from it.

However, I think it would be better if students are provided with video lesson about Rstudio , it will help to understand R programming especially for the beginner.

Very clear and well presented course. Best course in stats I had in my life. I removed one star as the time suggested for studying and doing the assignment is well over what is suggested in the course. Make sure that you have plenty of time in front of you :o)

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.