This course was an deep dive into data analytics and designing experiments for analytics. Although there was a great requirement to perform the tests by yourself - which i guess some designers don't appreciate - it still was an exciting and challenging experience!

Great course! Very applied and less theoretical which is great in understanding how to analyze experiments without getting too deep into the theory. Would love a follow up course that dives deeper into the mechanics of the functions used in this course!

It's a great course. It is very well structured and provides a foundation of research and I am glad that it is a part of Interaction Design specialization. However, might be extremely challenging for people without Statistics experience.

A challenging but very fruitful course.

If you do not have sufficient statistics background, you will find it much more challenging and need to pay much effort on it.

Having said that, you can learn a lot of practical and useful concepts.

This is a thorough course, but was way harder than I expected. I needed to understand the experiment design more than to learn R programming language. I am glad I did, but it was hard for me and took a lot more effort than anticipated.

Excelente curso. Todos lo temas fueron explicados muy bien. Los comando R muy prácticos. Ejemplos reales. Lo único que me gustaría es que presentaran un libro para profundizar en los conceptos estadísticos y ejemplos prácticos.

A very complete tour of methods for analyzing experimental results using R. Its more about practice than theory, but it filled in crucial gaps in my knowledge and I expect what I learned will be very valuable moving forward.

Great course, easy to comprehend various tests/models and their usage! Definitely recommend to anyone running A/B tests. Would be nice to have a short video on which tests are related to multivariate testing.

It was very helpful for me, thank you! I thought that I will never be able to make this challenging course, but after completion I think that I have courage to design, run and analyze experiments on practice!

as a first introduction to the analytical side of quantitative/ qualitative experimentation amazing course, pulls you in... it is tough and requires more time than what is mentioned... but totally worth it.

One of the best courses I have taken in relation to UX. Very good design, engaging lectures and examples, and well designed exams. I learned alot and enjoyed listening to Dr. Webbrock. Kudos to him.

Great course.

Highly recommended. It was very clear and I'm very thakful because there were many subjects I only understood partially before this course but are now very clear to me.

This was really useful. The course was well structured and provided excellent real-life examples that are easily transferrable to other scenarios. Keep it up!

Very difficult content of the module, but the teacher explained the issues clearly. Tests were also helpful in understanding and mastering the material.

Great and Challenging course material. The course will make it easy for you to understand what kind of experiments to conduct in different scenarios.

The only course worth doing in this course series. Very clear to the point and helps to learn a bit of statistics that you can use.

Have to watch three times to keep up because it is really hard for people without former experiences... Anyway it is worth it

Really great course on statistical tests for experiments. The long quizzes are a little annoying, but helpful in the end.

Awesome! Analytics is what I like. Design doesn't always have to be about graphics and drawings and arts.

THE best course in the interaction design specialization. Not even kidding. Try for yourself.

Should cover how to select sample for experiments and perform experimental design test

Thank you very much for creating and sharing this wonderful course! I loved it!

Extremely Practical Course. Lots of statistical detail & breadth of tests.

Awesome Course! Thanks to Dr. Wobbrock for his clear explanations!

I think it is a very good practical statistics course. Thank you!