Jun 04, 2017
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!
Jul 26, 2017
Have to watch three times to keep up because it is really hard for people without former experiences... Anyway it is worth it
von Sourav Chongdar•
Apr 29, 2019
The worst course of this specialisation. Instead of emphasising on the principles of statistical methods, this course forces you to use R and RStudio.
von Alejandro Naranjo•
Apr 04, 2019
This course is not amazing at all. It takes so much time to complete plus you do not learn much. You learn to pretty much replace some parts of a code it's already done in R. So you work with code but you don't learn how to code either. I give this course 1 star.
von Cirus Iniesta•
Apr 01, 2019
A good course providing the fundamentals for doing tests of proportions and analysis of variance. The former is well covered; the latter, being a bigger subject, in a bit less detailed manner as complexity increases. The accompanying R code provides a good basis with which to further investigate.
von ujjwal dubey•
Mar 23, 2019
Very very helpful for my game design project.
von Emerson Wright•
Mar 17, 2019
This should really be broken up into several separate classes. It is a whole lot at 1 time.
von Faraz Ahmed Khan•
Mar 10, 2019
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.
von Jared Gillespie•
Mar 07, 2019
I feel like the course overall was important. I'm glad I have the basic idea of how I can crunch research data using R. However, the course could be difficult and perhaps a bit deep for many people looking toward UX design. The instructor suffers from the academia cliche of having so much knowledge and skill that he can't always help students on a very introductory level. Case in point reading the class notes (a task usually unimportant and ignored by most users) is required, and yet even those notes are written from a perspective of knowledge of the subject. It's a bit like coming into a Spanish 1 class, looking to learn a bit about Spanish and the professor hands you a syllabus of which parts are written in Spanish. While I recovered from this shock, I think for many this snowballs into growing frustration and failure.
Add to this the complexity of coding across different computer operating systems and versions. There are times when you get an error and you don't know why. In a classroom the professor might tell you, "oh you forgot to _______". Here you can ask and you might get a response days or weeks later. It could also get so complex that even the professor is not sure what is going on. I had an error and there was no resolution, I had to google and solve it myself.
Overall, I'm glad I took the course. I had some really painful moments but I also solved problems and completed complex tasks, which felt rewarding. I definitely appreciate the approach of the professor, splitting time between lecture and hands on and having hands on assessment at the end.
Feb 27, 2019
Without any background in R programming and experiment design, I am able to learn a lot of useful stuff in this course. I wish the last three lessons and quizzes are a little more beginner friendly.
von Cristine Louise Manasan•
Feb 12, 2019
This is a very interesting and an important area in the Interaction Design Specialisation. This should have a dedicated specialisation on its own. While the exercises and the lectures are pretty decent,I don't think it's adequate to really grasp and master this subject. However, it's still a pretty good introduction enough to give someone a basic working knowledge.
von Jacky (Liang Hao) Zhao•
Feb 10, 2019
Great course. You explained the topics very clearly!