Nice introduction to statistical inference concepts and techniques

Very nice coarse for learning methods of inferential statistics.

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

¡Es una pena que no se traten más contenidos! Está genial

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

could be made a little more interesting

I wish there was more exposure to R.

Very useful tools for inference

Too hard for beginners.

It is very difficult...

very poor contend on R

It was a great course

Very helpful

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

Good job!