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: ctvv3010•
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: Santiago B•
May 25, 2019
I have to be honest, I hated this course mostly because I suffered from the start to the end, but don't get me wrong, the concepts are great and very interesting, I didn't know how much information can you get from a simple CSV file; the thing is the course is based in the RStudio tool and I struggled very much with it; missing libraries, constant crashes, and at some point I lost the thread, the concepts start to seem too complex for someone who hasn't much experience with coding so my motivation went away and at the end I was just following instructions to make it through. Maybe if the concepts stay centered on the meaning and not the tool this would be more enjoyable. But I'm very grateful because now I have the sense of data and its importance to backup important design desitions, Thanks!
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: Yemao•
Aug 08, 2019
Although the lecturer has explained many theoretical aspects regarding experiments preparation and analysis well in the course, I honestly don't enjoy this course. The reasons are: 1. this is a stats course to a large extent. So you better have a good understanding of stats using in psychological studies. Otherwise you will GET LOST. 2. This course uses R instead of Python. If you are R novice like me, you WILL HAVE trouble installing packages, modules or using them because of non-compatible version of R etc. The lecturer sometimes will explicitly point out the "right" codes to execute, but it did not work as many other students suggested. Then you asked a question in the forum but unfortunately you still dont get any answer even after you complete this course. In my opinion this also shows poor preparation of the course materials and lack of updating teaching/exercise materials. Copy and paste code seems to become the pattern for completing course exercises, but i really doubt how much you can really apply for real-world cases. With all due respect this course shows a huge contrast with previous course in the interaction design specialisation and really make me feel a bit disappointed.
교육 기관: 薛昭•
Jun 13, 2019
It requires a lot of knowledge of R and statistic
교육 기관: Gloria E W•
Aug 21, 2019
교육 기관: erin•
Dec 18, 2018
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
교육 기관: Luis P•
Oct 05, 2018
Very boring, and not useful for the normal work market
교육 기관: Cristian R•
Apr 25, 2016
This course is good but TOO FAR from the real content this specialisation look for (or at least, I was expecting).
교육 기관: Olga S•
Mar 19, 2016
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.
교육 기관: Esmeralda•
Apr 22, 2016
교육 기관: Michele M•
Dec 24, 2016
If you already took statistics, this is a reasonable refresher. However, it is way too brief for the amount of material covered.
교육 기관: Parimala H•
Mar 27, 2017
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.
교육 기관: Almudena L•
Jun 28, 2016
Despite of been a interesting course I find it really hard to pass it. In my opinion, previous knowledge or R should be required.
교육 기관: Jeppe C•
May 22, 2016
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.
교육 기관: Mariangela•
Jun 15, 2017
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.
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.
교육 기관: Weronika G•
May 15, 2018
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.
교육 기관: Anna M•
Oct 15, 2016
Very hard to follow and to understand if you don't have any mathematics background or statistic knowledge. But it is doable.
교육 기관: Florence L•
Jun 20, 2016
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.
교육 기관: sara w•
Dec 17, 2016
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
교육 기관: Liwa S•
Jul 11, 2016
OK content but too slowly presented
painful experience to go through all the lessons
교육 기관: Luciana V M•
Jan 26, 2019
Alunos podem ter dificuldade em baixar o programa. Tive que usar outro computador. Os testes são muito detalhistas e não acho que isso seja um conteúdo adequado para o curso, uma coisa seria ensinar sobre como realizar testes com usuários e técnicas outra é ter a necessidade de usar códigos e contas sendo que um programa de analitísticas mostraria o resultado sem precisar de todo esse esforço.
교육 기관: Alwin K•
Sep 26, 2018
There are lots of issues with different version of R and the compatibility with some packages. Especially Mac users can't finish specific tasks.
교육 기관: Erica F•
Sep 02, 2016
Much more emphasis on statistical analysis than on experimental design. Seems out of place with the rest of the specialization in terms of both length and subject matter. Course assessments seem to test in-depth knowledge of coding in R (which isn't gone over in sufficient detail in lectures, rather students are told to look it up in more detail on their own; however, the class is already longer and more in-depth than all the others in the specialization!) more so than experimental design or statistics. Should be less detailed, or split into multiple courses, or at least should have an introductory lesson(s) or prerequisite course on basics of how R works - I found it extremely frustrating trying to learn about and conduct statistical analyses in a system of which I had only minimal working knowledge.