The instructor failed to explain many parts; such as why we don't use T-distribution for proportion, why use n-1 instead of n in some equations, etc. The discussion forum is sooo quiet, I appreciate some students who try to help other out. R lab is the most annoying part, you barely need any understanding at all; all you need is remembering the function and understand the convention what instructions are telling you (which is so varying or sometimes not telling you and you have to go back to see what it is in the previous questions). I feel R lab is not useful.

Most of the courses didn't feel like basic statistics, they were very hard, plus a lot of the presentations were difficult to understand. I felt that there is a significant disparity between the two lecturers; the way they present the learnt materials is very different. In several times i had a gap and had to look for more information online. This is called "basic statistics" and it felt like i was supposed to start the course with a previous knowledge which i didn't have.

It is a difficult topic to understand on your own, without any support at all from professors. They go too quickly on each topic and it is hard to understand how to use it in practice. Despite the efforts in making attractive and easy to grasp videos (congrats for that), it is unfortunately not a topic for self-learning.

If you do not already know how to program in R this class is nearly impossible. I have a strong back ground in math and have had basic programming on the college level but could not finish this class. If you want to take this learn R first then take it.

I wish the course excludes the R ... time is wasted to implement by R and hence focus on syntax rather than practice on the subject itself which is stats. For example, it can be faster as a learner to implement using a spreadsheet.

I struggled with understanding the concepts. At the first read, they made sense, but when trying to solve problems they stopped making sense. There were errors in the calculations too, and more examples would have really helped.

This course is more about learning R-programming which is totally useless for me. The videos are nice. Try instead buying the book and do the excercises with python or excel.

I've only gotten started, but there seems some assumptions made about how much we know and how quickly we can pick up these new terms and ideas.

The program is good. The videos not so much. The professors are speaking pretty fast. It would have been good to have some written material.

R labs are too tedious for people with medical or science background! we need explanations rather than trying to figure it out on our own!

The lecturer is very good but there is no reason putting R language in a basic statistics class.

Unfortunately, this class wasn't useful in teaching me basic statistics.

shitty final exam questions. confusion on sample std or population std

If you don't pay it you can't do anything

Very lenghty R labs to complete

Damn R-Lab

It started off well enough. Loved the visuals. Week 3 probablity was really confusing and my thoughts on the course started to change quickly. The R work helped a little, but I still didn't understand a lot. I feel like forumulas are thrown at you very quickly. It's almost like 'how much can we put into 5 minutes as quickly as possible?'. I'm at the end of week 4 now and quitting. I am not getting much out of this and tired of rewatching videos 5 or 6 times hoping to understand or memorize something. There is probably better use of my time. I will try Duke's version now.

How to improve this? Put some questions after each video. Waiting till the end to give the students some questions which causes them to go back and replay all those 'super fast' videos again - Feels a bit lazy as way to teach. Maybe its me.

Can someone on Coursera just simply teach stats without trying to tie in a programming language? Since its obvious by now, you guys can't teach both well in one course how about just focusing on one well? (I'm looking at you Stats w/ Python Univ of Michigan).

The fact of aborting the subjects in a very fast and superficial way leaves something to be desired and ends up generating a lot of confusion both in the course and in the programming part. I would need more examples and activities so that knowledge could be absorbed more easily and intuitively. There are some calculation errors in the videos and the lack of some references associated with tables Z and T that generate a lot of doubts and confusion. Anyway, I expected the course to be more organized.

The information was amusing sometimes, but the first 2 chapters are sexist. That aside - the "R Lab" is not relevant to the class. Also, the order is backwards - all the interesting theory parts are the last 3 chapters!

R Labs are a total waste and these should not be the part of the course as we are not here for the programming language, the sole purpose was to learn basic statistic not some programming language. going to unroll

please write the requirement necessary to complete this course, one can chose if he is capable of doing the lab. although statistics is basic but i wonder the computer skills are not.......

No interest in or use for R, ever. Moving to another course on statistics that does not require silly programming.

It should be named 'Basic', or say that it doesn't require previous knowledge because it does.

Very long and I was feeling unmotivated to complete the course

i want to unenroll from the course, I am not able to do it.