Very concise and interesting. I was able to brush up many concepts. It is important to indicate to the students, that the materials provided are not enough to create a final project in a meaningful way.

This is because the code to use R is limited to the basics throughout the course. Extra or outside research is necessary to increase R skills.

Many students have technical difficulties, sometimes unusual. Is it possible to address them by expanding an FQA section?

Very interesting material. Statistical inference was one of the great mysteries for me, and it is indeed a technical topic. But the professor does a great job in presenting the material in an intuitive way, giving an awesome introduction. Very interesting real examples too.

Looking forward to have a proof-based equivalent course, though maybe I should focus on a forma probability course first.

Very good explained course, with lot of useful exercise, so you can be sure to understand the theory. Th practical examples in R are well designed and explained. This is definitely a must for someone interested in statistics, with beginning concepts that you need to keep in mind for further coursers. The teaches is also excellent, explanation and examples are very good. Recommended!

I really enjoyed this course, it is pitched at just the right level for someone who is sometimes busy with part time work. It does ask that when you study, you study well. I've not learned any programming before these courses, so sometimes my knowledge of R is lacking. But it is rewarding to learn R to really see these statistical ideas come alive.

If you are new to this, get ready to sweat. This course teaches many many concepts and if you think that it tiptoes around it you will be surprised. You might walk away and forget some of the methods and tests since there are too many, but you won't get away without learning to interpret and reasoning absolutely everything that you compute or do.

The course is well-paced, covers the relevant topics from the basics and gives you a bit of freedom on the project. The comments made for the first course in this series still stand: there is a lot of statistics and a little R. However, it is not as painful to code as it was during the first course (although still need to google a lot).

Great course, the professor is able to explain and articulate complex ideas into a digestible manner. If you ever taken a statistics class you know would know how incredibly rare it is to have such a great professor able to explain the material as well as she does. Thanks you very much Dr. Mine Cetinkaya-Rundel for teaching this course.

Nice refresher course on inference testing, with a broad coverage of the types of variables / analyses.

Not heavy at all on the math side.

Students have to find their tips for R-coding on the Internet for the most part. It is a good way to learn! But we could use more standard tips from the course itself, especially on EDA.

The best online course I have taken so far. It teaches you all the statistical methods you need to do for inference. The lessons are well taught and organized in a way where each lesson builds off the previous. The final project is also a great way to put everything you learned throughout together.

Had a great learning experience with in depth knowledge of statistics, inference and hypothesis. Structure of the course helped me grasp things in an organized way. The use of real time data to explain concepts had a great impact in making things easier to understand and relate to things around us.

Excelente curso. Vale totalmente la pena tomarlo. Es muy importante atender la lectura sugerida y tomar notas. Complementando la platica junto con la lectura sugerida estoy seguro que tendrás las herramientas necesarias para iniciar un desarrollo en el ámbito de análisis de datos.

The course is structured very well and has some great content, suitable for anyone who is just beginning with statistics in R or if you want a refresher on statistics. Dr. Milne is a great instructor, i have taken some other courses of her's and was never disappointed.

Great course, really useful and amazing explanations by Dr. Mine Çetinkaya-Rundel. I learnt a lot and the data we are given to analyse in the final project is really interesting. Totally recommend this course to anyone interested in working with stats in R

Really good course on inference. The statistical tools and the reasons why those tools are used, are explained well. I am looking forward to the last week's exercise and the next courses of the series. This one is a bit more difficult than the first course.

The content of the course of was informative and clear. The lab sessions were really useful in evaluating one's understanding of the topic while introducing useful functions in R though more emphasis could have been placed on ANOVA during the lab sessions.

Great course, good for begginners or those who (like me) wants to gather separate pieces of knowledge into a solid picture.

Good examples, well explained, not too much calculus, appropriate quizzes. Reading a book accompanying course is also very helpful.

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.