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.
By 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.
By 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.
By Emerson W•
Mar 17, 2019
This should really be broken up into several separate classes. It is a whole lot at 1 time.
Jul 20, 2017
I would have rather gone deeper into the tests, than quickly run through them.
By Jared B•
May 16, 2016
Quite advanced in contrast to the rest of this specialization!
Jun 13, 2019
It requires a lot of knowledge of R and statistic
By XIE Y•
Aug 27, 2017
Content a bit too hard
By Gloria E W•
Aug 21, 2019
By Kolesova V•
Feb 16, 2017
By 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.
By 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.
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
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.
By 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.
By Kelly M•
Oct 27, 2019
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.
By 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.
By 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.
By 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.
By 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
By 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.
By 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.
By 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.
By 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).
By Dina A•
Feb 23, 2020
Limited provided resources and it focused on R coding more than content discussion.
By Liwa S•
Jul 11, 2016
OK content but too slowly presented
painful experience to go through all the lessons