This is great course as Intro to Statistics

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.

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

Too much basic

The course was not very helpful for me, as practical cases with R were poorly developed and the final data capstone project is badly formulated which makes it extremely difficult to pass.

Lots of perplexing questions in their assignments, and the quizzes were too difficult. However, I garnered modest skills in this program.

Not able to grasp even a single concept. For every topic I've to go to youtube to study it. The instructor seems to read a page. There is a difference between teaching and reading

Such a worst course never seen in my life

very irritating

awful!!

pesimo