This course seemed unbalanced compared to some of the other courses and was very work-heavy. I felt it could have, or maybe should have been broken up into two courses, or that other courses should be longer.

The final project does not help, for example someone used discrete data 1,2,3,4,5 .... ,40 to compute a p.value as if it was normal. It is too general and does not fill the purpose of the course.

I love this course. But I have a little bit hard for using the R program. If there is more instruction about using the R program, this course would be a lower hurdle for users likes me.

The course is very well explained I had to refer other materials for ANOVA technique to understand it better hence that part can be either improved OR more reference material be provided

Very useful course about statistics. May need some fundamental understanding of statistics before, but through the clear explanation and examples, I've learnt a lot from this course

This is a wonderfully curated course if u follow the readings and practise suggestions. But the main issue is the R programming. It needs better practise than suggested readings.

Very good course on basic understanding of inferential statistics. Instructor was very clear in delivering the content. The lab work is very helpful in developing R knowledge.

The teaching is good, the course is a little heavy and a lot to take in in the later weeks. But, as a further grounding for statistics and R, I would very much recommend it.

It is a very nice course, I have learned a lot. However, it is convenient to take the previous one of the specialization, as they base some examples or R knowledge on it.

Without a background in confidence intervals and hypothesis testing, I think that it would be very difficoult to understand these concepts in those few videos.

This course gave me the toughest time of my life. I did the course for 3 months, i failed project once but i thank God, i proved toughest by passing with 100%.

The inference function and hypotheses tests are really useful. Permutation tests need more explaining and examples; otherwise they should not be included.

A good course for learning statistical inference, though I found that more than a week per module was required to really absorb the content.

It is a great course, while some underlying logics are not clearly explained. And the quiz has some unexplained context, which is confused.

It was a very interesting and useful course. To improve it a little bit, I would focus more on the use of R to do different analysis.

I liked this course because it gives basic ideas how inferential statistics works, without going into mathematical details.

I thought this course did a great job of incorporating R code into the lecture and hope that continues in future courses.

An Introductory course with a lot of examples and a project at the end to furnish your concepts and knowledge.

Generally a great course, but would benefit from a better explanation at times of how to use R effectively.

Good videos, good book with exercises but many useful functions in R were not introduced (e.g. t.test()).

More detailed answers on Quiz questions and some more explanation on R codes will help a lot

good course overall. Would love to see more math exercises rather than wording of problems.

I think it is a little bit difficult for someone who knows nothing about probability or R.

This course is great learn a lot well explained, the professor is great!!!

Nice introduction to statistical inference concepts and techniques