Loved the course, also very pleased that there was recommended reading for further study. Also loved Brian Caffo's deadpan joke delivery, really hard to know if that's an act ;)

If you work through all the examples, you will be pleasantly surprised. This is an awesome course. Highly recommended. Many thanks to Brian Caffo for improving my understanding.

I think that this course is great. I particular like the practical exercises ; which gives hand on experience with the bit complex theory. I could miss more training quizzes.

A very conceptual course to understand the fundamentals of Inferential Statistics. I would recommend this course to all aspiring data analysts/scientists or business analysts.

Very intensive and demanding course with interesting examples. Students without previous knowledge in statistics will likely need additional resources to complete the course.

It's a great course from Jhons Hopkins university and it helped me to enhance my knowledge in my field. I would like to give special thanks to professor and coursera team.

Outstanding material. You can scale the difficulty and depth on the subject as you wish. Great source and references. (Recommend seeing the videos at 1.5 x speed though).

The course was quite technical and difficult, but the lectures of the teacher helps to understand the main points and reading the ebook of the course helps a lot as well.

Great course ! Important for those who are either going to take the Regression analysis or those who are working with data and want to do same basic hypothesis testing.

It's good as a reminder course, but I recommend coming with some prior knowledge.

My recommendation to the instructors, update the course material, at least the videos.

Thank you Johns Hopkins University, thank you Coursera. I congratulate you on fulfilling your mission to provide universal access to the best education in the world.

More practical exercises with R (like a pre-exam of examples with exercices) would give more opportunities to practice and understand the matter (R implementation).

Many thanks for this course! I learned a lot of things that i've never imagined that i would manage to learn! thanks for everyone who makes this become possible!

This course was very helpful to remember so concepts of statistical inference. The swirl and project exercises helped me to practice more my R-programming skills

Understanding statistics is not easy, but caffo makes us to understand them easily... Thank you very much Mr. Caffo Now i can say that i know some statistics.

I thoroughly enjoyed the swirl mode of interactive learning provided in the course. It helped me in understanding the power concept in statistical inference.

I already had this course in my university, and this course helped me a lot to understand some concepts that I didn't fully understand in that course.

Excelente curso, fue muy útil para mi porque me abrió la mente con respecto a la utilidad de la inferencia estadística y sus aplicaciones en la vida.

Great class; very informative! I was surprised to see that Brian mentioned the Central Limit Theorem; he definitely knows what he is talking about.

I learned this course two years ago and now I'm coming back to retake again, this type of knowledge never expires! Please don't remove this course!

Excellent material and illustrations by Brian Caffo. definitely enjoyed it, though mastery will be possible only if I keep refreshing my basics

Can improve the intonation and content delivery. sentences are too complex to comprehend and lost motivation to complete the course some times,

Worth taking twice. These are rudimentary concepts that even seasoned statisticians need to keep in the forefront of their mind at all times.

best course to learn and understand deeply about statistical inference thank you Mr Jeff for giving everyone opportunity to learn this course

Statistical inference is one of the most useful things in data analysis.

It was very interesting and useful course!!! Many thanks to authors!