I found this course very exciting. The knowledge it imparts is so invaluable that I am keen to complete course after course. The lecturer also has a charm with which she holds your attention and makes learning quite a breeze. I give 5 stars unreservedly

The course gives me an understanding of inference for numerical and categorical data. The example as well as the project assignment use real-world data which prepares the students to use the technique taught in the course to tackle real-world problems.

This is a wonderful course with a very good instructor. Her explanations and observations are clear, concise and on point. I am so glad I am taking this course because now the mystery of statistics is over for me. I finally understand this logic.

This course is brilliant. It's straight forward and a lot but moderate practices. A quiz, working on R, and discussion forums assist your understanding of the contents. I am not a native English speaker, but I could enjoy this learning. Thank you.

This course is very complete. It helps, even who have already studied Statistics on university level before, to really understand the concepts on inference. The labs are cleverly built to help the student to use R and apply the concepts learned.

The course content is very comprehensive and all the concepts have been explained clearly. This course has helped me a lot in building my statistics skill. I would recommend this course to anybody who is looking to learn inferntial Statistics.

An excellent course that was just right for me. I have started on course 3 and hope to complete the Capstone project eventually. My thanks to Prof. Cetinkay-Rundel and other members of the Coursera team for giving me this opportunity.

Very good course! With the course and the book you can get equipped with all the basic skilled needed for inference. Strongly recommended!

It took longer hours to study for me than the estimated time provided by coursera though

This is a hands-on to the point introduction to hypothesis testing. The perfect course for showing "how it works" without bombarding the reader with maths. Also very well suited for relearning the material after 15+ years.

Really good overview of inferential stats such as central limit theorem and T-Tests

The best part of the course is they relate the theory to real world examples and worked through examples that makes the course relatable.

Much better than the course offered by John Hopkins University on the same subject. Concepts are clearly explained with detailed examples. Nice course to solidify your statistics skills. And BTW, really cute professor :)

very awesome class for statistics, very clear explanation. recommend for any one who want to know statistics. This inferential class is much better than the one I took from JHU data science course. 5 star recommended.

The course is not easy to follow, but you can learn a lot with the practice and R Lab. The Reference book is more clearly explained. Suggest starting to learn from the first unit, then familiar with R. That's helpful.

The course was very well organized and with detailed explanations and exercises offered by the Professor. Lots of practice with R was included, which makes it extremely useful for coding and future jobs in this field.

For a student who is new to the subject, the duration of the course is shorter than necessary to establish the content presented. There is a need for the student to seek extra resources to understand the content.

This course was an eye-opener for drawing inferences from huge data sets using R. The concepts were so clearly explained with many examples, that it is now quite easy to implement the tools for real observations.

It is my first course. Two weeks have passed and I am learning and relearning. The professor is really good and I am motivated every day to be on track. I registered for the course. I wish to pass the course.

The course structure was up to the point, not more not less. and it was more of a practical approach rather than high-level theoretical proofs. I really enjoyed this course it was a perfectly balanced course

Excellent course for one seeking to understand the basics of Inferential. It as difficult as it sounds, but manageable and the additional course materials are enough for the intermediate level self study.

Quite challenging, but I truly enjoy the Final project.

Video was fast, and a lot of Video to learn and ponder from :( not a bad thing, but I feel constantly under pressure. I learned A LOT!!.

Thank you.

This has been the second course in this specialization and things are going smoothly.

The greatest thing is the final projects which give us freedom on what we want to figure out with given data set.

Very nicely designed course and it also progresses very well. If higher mathematics would be involved in it, the course has the ability to replace many college's statistical inference's classes.

The concepts are explained in a very simple and effective manner with the help of a case study. Background knowledge of R will be very handy if one wants to cover the topics at a faster rate.

Very well taught. Student given an opportunity to explore and search for ways to solve problems by themselves. Professor (mentor) and other students always ready to help should you get stuck!

The professor is one of the best instructers I've seen. I've struggled to understand these concepts before but this course just set everything straight. Lots of content to practice with too.