It requires a lot of knowledge of R and statistic

Nothing to do with the overall specialization

Content a bit too hard

Very hard

difficult

Throwing graduate level stats and R in towards the end of this certificate is truly baffling, but that aside it was taught well given the limited time.

The course would have been best geared to more practical considerations of research design itself, like more focus on when to use each test, how to get subjects, set up usability testing, issues to look out for etc.

I'm not suggesting testing considerations like sphericity and the Kolmogorov-Smirnov test etc. shouldn't have been addressed, but I think the time would have been better spent just laying the foundation for them conceptually, as opposed to getting into the nitty-gritty all the time with R.

Course is not well designed. It focus more on proceeding technically statistical tests than explaining why we do them and how they work. I do not mean how they work on mathematical level but on explaining how they work on data level. For example in one of the previous courses Scott explained how chi square works and it was amazing, this course should be made in the same way. People learn here how to copy code and perform tests without explanation why in this case we do them. It would be nice if cases and data were from real experiments. I dont leave this opinion because the course was difficult, it wasn't for me, I had 100% overall score.

This is a complex course for people who don't know R Studio. While it is not very hard to learn R Studio (even for people who are not comfortable with coding), it is very difficult when people get stuck. I did not get the much needed support when my R studio installation failed or when installation of libraries failed with error messages. The instructor was good, course content is good, but the lack of a suitable support representative for such complex subjects pulls down the reputation of this course. Please provide a good support personnel to at least help with online queries.

i can't figure out how to contact anyone about issues with the program used for this course... i have posted in discussions and searched for ways to contact someone and found nothing. more support is needed when using a program that isn't functioning the way we are taught. i'm about to take the quiz for week 6 but 2 of the main functions used gave errors and i'm not sure how to go from there since no contact or help is found readily. this is ruining this course for me, realizing that no support is available for significant issues like this

I consider that this course, although it has to do with the interaction process, should not be part of the interaction design specialization. The R Studio tool is not normally used in the field of digital design. It is too technical and does not give me the knowledge I need to say that I achieved all the knowledge. This course could be replaced by Digital Analytics or other important content in experience design. It is also very extensive.

This course was NOT appropriate for the Interaction Design Specialization. It was far too detailed, complex, in depth and advanced! To say a person can take this course without any R or advanced statistics is crazy. It was a real struggle. The teacher obviously knows what he's talking about, so don't want to take away from his skills/abilities...it was just a complete mismatch for my goal.

Quite difficult, I had to do a lot of research and figure out lots of stuff by myself that was not previously indicated. I would have also loved to have a few real scenarios / use cases on how this method comes to be implemented before we started the actual practical part. I know what I learned was useful - I don't know if I will remember it all, but certainly challenging and interesting.

Hello. Unfortunately- 2. Just my opinion - not enough information about R tests and program, what is this, basic details for testing and code, no details for Mac-users. Videos are to short to understand details and goals, what I will learn, how to use mathematic formulas? If I could - I wanna leave this course. Thanks for understanding.

This is NOT an entry-level course!!! Can not stress this enough! This should not be advertised as a beginner's course! I honestly can't tell how good it was because I had no idea what I was doing the whole time! I am sure the instructor is knowledgeable but it's way too complicated. I am very glad I am done with this one!

I have a programming background, so finding solutions for many of the problems that arose while navigating R & R Studio was OK, but I can see this course as being incredible frustrating for those without any programming experience. Making this the last course before the capstone in this specialization feels a bit cruel.

Very very difficult. Quizzes are quite easy to accomplish, but the practical "take-away" from each week is small. I would have preferred if the course focused on getting the results(data) and keeping the statistical analysis to a few (most common) areas.

Too academic. More focus on practice use.

The content of the course is definitely top notch. But the way it is structured can be improved manyfold. It is packed with knowledge to be covered in a very short span of time. It touches a lot of various statistical tests without going into much detail of what, why and how.

I have to admit, this course was quite an ordeal. I don't have a problem with statistics or maths but the way the material is presented leaves a lot to be desired. The only course in the specialization that I struggled to go through.

Very dry content and hard to retain any information presented in the course because of it. Quizzes are fairly easy to pass provided you have some programming experience.

Far too advanced for a total beginner as I am, was really hard and very confusing. My industry friends said it went too far for what I need in the real world

Despite of been a interesting course I find it really hard to pass it. In my opinion, previous knowledge or R should be required.

If you already took statistics, this is a reasonable refresher. However, it is way too brief for the amount of material covered.

Very hard to follow and to understand if you don't have any mathematics background or statistic knowledge. But it is doable.

This course is good but TOO FAR from the real content this specialisation look for (or at least, I was expecting).

Limited provided resources and it focused on R coding more than content discussion.