Overall a great course to learn and understand, few concepts weren't explained properly and I faced difficulties in adapting to those.

Nice Course, probably it needs more time to study in deep certain topics like tests, confidence intervals, and resampling techniques.

It is good but you have to study by yourself using different material as the video contents are not enough to understand the subject

Course lectures could be a bit simpler. without that many theoretical demonstrations & more pragmatics summaries of the concepts.

More difficult than the previous modules. Some explanations by the teacher seem to expect some basic knowledge on statistics.

Nice course, I really enjoyed it and learnt a lot from it. These were basic notions of statistics but still very informative

A very good introduction to statistical inference. Coves both data with known distributions and more unknown data handling.

I think the "homework" exercises are a very good idea, but

since the course is very fast paced, more exercises are needed.

The coverage of Confidence Interval and power of a test was really helpful. I'd recommend to all interested in analytics.

Very good course. Maybe in some cases it misses a little bit more depth on the why or when we apply certain methods.

It was a pretty good course with really great examples. I feel the instruction was a bit too droll and mechanical.

Nice course but the estimated lengths for the assignments and swirl lessons differ from my personal time spent.

This is a good course to strengthen some basic and useful statistical knowledge used in statistical inference.

The subject is really good. It's the course content which lacks a bit, it should be enhanced and elaborated.

Good explanations, but it would be better to apply them directly to the R language and understand the output

I learned more using the companion book. I think the videos should be remade. Beyond that is a good course.

This was the only slightly boring class in the specialisation, but we did learn a lot of R programming.

Good course. It could be more clear and deep in some concepts, especially in the final part of week 4.

everything is good. except the lectures are kind of boring. i hope lecturer may be a bit more active

The content is really interesting.

But the presentations (including audio and video) could be better.

The course is very deep . you need to rewatch videos if you don't understand it.

anyway, its good.

Tough, but good information presented in a way to capitalize on R for doing statistical analysis

More graphic explanations would have helped me a lot. Had to do a lot of supplemental learning.

The course is useful and essential not only for those studying statistics but machine learning

It is pretty difficult and needs research and homework to be done from the learner's side