Very nice coarse for learning methods of inferential statistics.

Very well structured.Could focus on R programming a bit more!

No tutor answering questions in the discussion platform.

Need to revisit few classes as it was little aggressive.

Its a very good way to introduce to R language

good powerful insight into statistics. Thanks!

This is great course as Intro to Statistics

some topics require more explanation!

I wish there was more exposure to R.

Very useful tools for inference

It is very difficult...

excellent

excelent

I would give it a 3.5, with the extra 0.5 because of the great interaction, ease of use, and clarity of progress. It was pretty hard for me and I barely made it in under the deadline (jumping session to session to complete). You definitely need some R background by the end for the project. I expected to get more in information in using R for inferential statistics too... though there was a presentation and each lesson had followup for use in R. Great use of examples for each section. That helped me a lot.

The fundamental concepts of statistics are well explained, however the exercises involvig R are kinda rushed up. Moreover, the R part is accomplished mainly by a library, dplyr, and the main concepts of R as a programming language are skipped. Finally, the peer grade review is a little more advanced than the course lessons and takes really a painful process - but this is a common problem in coursera.

For me there is not much more than u could learn in comparison to previous course. Would expect some more knowledge from this course

great instruction on statistics, but no lectures on R. The R portion of the class is given as a lab at the end of each week.

I think this course needs more instruction with the R studio lab

The lady could have used a bit more rehearsing before recording.

Too much basic

At times it feels lazy how it is put together. The examples are confusing (rather than clarifying) and there is close to no teaching of R, but the assignments are meant to be done on it. In fact in the forums it is endorsed by mentors to learn R somewhere else. Likewise, I saw one comment where the student mentioned how they got confused by a core concept (p-value) and could finally wrap their head around it by watching a Khan Academy video. And sadly, this was also endorsed by a mentor. Overall, I found the effort put into this course insufficient for people who are new to Statistics or R. Therefore, the name of the entire specialization becomes misleading as it suggests that we were going to be taught how to use R in statistics. I had high hopes for this course but sadly I will abandon it and spend my money on an alternative course/specialization.

So much disjointed information.... I felt absolutely crushed trying to learn and understand all this. Am waiting for another 8 hours before I can reattempt the quiz.

Personally, I feel that this course assumes the student is automatically an expert in statistics (simply due to completing the first intro to statistics course). The logical progression of how to approach different problems - and the terminology of the statements involved has been thrown out the window...

If you're new to statistics, I suggest you should at least double the time allocation they provided...

The teacher lacks the ability of mathematical description, including clearing defining concepts, describing everything in mathematical languages, and showing math formulas of t-tests. She hopes to hide everything behind the canvas and just show how statistics are applied. But without enough mathematics nothing she said makes sense. I have to search on the internet to get to know what she didn't teach.

------from a math phd.

Not suitable for beginners

awful!!