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 17, 2019
Very difficult content of the module, but the teacher explained the issues clearly. Tests were also helpful in understanding and mastering the material.
교육 기관: Nicholas I•
Nov 03, 2017
Great intro to R-Studio entering pre-made functions with data tables. I feel a little more familiar with basic concepts for quantitative experiments but in terms of understanding the actual statistical functions I still don't feel confident running know when and where to apply the statistical analysis to the data (Seems out of scope for this one course and I would take this course again for more practice). This was the most difficult course in the specialization. Working in R-studio is tricky because you need to know how run the correct version of R, and how to install missing packages in order to run the functions used in the quizzes.
교육 기관: Matthew S•
Jan 17, 2017
Interesting to try R hands on. Could have made more definitive statements on the usefulness of each test (there was lots of 'you could have a look at this analysis, or this one, or this one' without covering why each one would be particularly good for this case). Some of the later exercises also made quite of a leap in terms of what you were expected to know about R syntax, although the follow up answers were good if you didn't understand what was expected.
교육 기관: Muhammad A I•
Jul 16, 2017
Too technical for my taste. I understood the concepts but as we progressed, the code itself was extremely complicated with A LOT to grasp within a weeks time. I relied on the hints and code keys provided in examinations. I would highlighy recommend either rethinking if code should be part of this. Or improve how we can test/ increase the friendliness. No offence intended, just want to help :)
교육 기관: michele w•
Nov 12, 2016
This module took me on an interesting journey with lots of twists and turns. While I love challenges and learning otherwise I wouldn't have taken this course. I'd like to suggest the following: mentor to assist students, review of codes I found lots of glitches, one quiz rather than two, cut back on timeframe. I'd like to give more stars but am being generous with 3 stars.
교육 기관: Cristine L M•
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.
교육 기관: Raluca M•
Aug 07, 2019
Very, very, difficult. I'm finding myself having a harder time to pass this than structural design in architecture university, and that says a lot. At least in school we had the option to ask other students, but online, this resource is way less present. I did start getting some principles, but this needs rebalancing in my view.
교육 기관: Mirjana P•
Apr 27, 2016
I was able to follow the course and keep the pace but I got lost on factorial ANOVA. The professor is great but the course feels rushed through. It would be great if more time was spent on actual explanation of main concepts, since many here are the beginners in stats. I will try again, hopefully will get it this time.
교육 기관: Hossein R•
Jun 14, 2017
Great overview of different analysis, however I would not be able to do the tests without trail and error, and the available codes! 9 weeks, but it went too fast through the course, i would suggest to either make the course shorter to go deep in a few concepts, OR make it much longer so learners can understand.
교육 기관: Amy B•
Jun 22, 2020
This came slightly unexpected, and was quite challenging which is good. It was a lot condensed into a short period. It would have been nice if it was updated as their were a few issues because of it but not a huge deal - the forums were helpful.
교육 기관: Ana S R C•
May 11, 2017
There is alot o f bugs on the exams and some questions are really confusing about what the point is about. I liked the way the professor explain every thing and theme was so simple even for someone that has not a background in coding like me.
교육 기관: Chris C•
Apr 24, 2016
I think the course requires some basic statistic knowledge which I do not know anything about, it is tough to keep out. If providing some basic reading or keynote before hand would be really helpful!
교육 기관: Tamie•
Jul 10, 2018
it's a little too much materials. I wish the course materials are less dense, though I really appreciate the efforts of the instructors creating this course
교육 기관: Juan C D•
Jul 24, 2017
It's really interesting to learn it but it's not easy at all. Maybe you will need an statistic professor to understand it perfectly.
교육 기관: Nate L•
May 24, 2017
Way to much stuff for students who haven't learned statistic before.
9 weeks are just too short for these abundant material.
교육 기관: Ymmannuelle V•
Jul 27, 2017
While it's a fun course (and challenging), retaining all the information could be a challenge if not put into practice.
교육 기관: Candice L•
May 06, 2016
Not finding it very useful, but it's good to know about the concepts and theories for each type of experiments.
교육 기관: Emerson W•
Mar 17, 2019
This should really be broken up into several separate classes. It is a whole lot at 1 time.
교육 기관: Justina•
Jul 20, 2017
I would have rather gone deeper into the tests, than quickly run through them.
교육 기관: Jared B•
May 16, 2016
Quite advanced in contrast to the rest of this specialization!
교육 기관: 薛昭•
Jun 13, 2019
It requires a lot of knowledge of R and statistic
교육 기관: Varaga P•
May 11, 2020
Nothing to do with the overall specialization
교육 기관: XIE Y•
Aug 27, 2017
Content a bit too hard
교육 기관: Gloria E W•
Aug 21, 2019
교육 기관: Kolesova V•
Feb 16, 2017
교육 기관: Nicholas J•
Oct 21, 2017
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.