One of the best courses I have taken in relation to UX. Very good design, engaging lectures and examples, and well designed exams. I learned alot and enjoyed listening to Dr. Webbrock. Kudos to him.
Great course.\n\nHighly recommended. It was very clear and I'm very thakful because there were many subjects I only understood partially before this course but are now very clear to me.
By cristina m•
This course requires significant knowledge of statistics and coding. It is not a class you can just jump into to learn as a beginner. The teacher doesn't explain anything well - he assumes you already know what he's talking about and he is not helpful in his Discussion Forums often blaming students for not already knowing what he's talking about. This class should not be part of this series.
By Sabina S•
This course gave me a really solid overview of different statistical techniques and tests and when/ why it is appropriate to apply. It's a pretty basic overview, without much technical detail, but it's exactly what I needed to get me started and help understand some concepts. The explanations are super clear and concise and I'm amazed at how well some concepts are explained, as compared to some other resources. I never leave reviews for anything, but I wanted to sincerely thank the instructors for the work put into teaching this course.
By Sanjana J•
This course is targeted towards a very narrow audience who are already highly familiar with R and R coding as well as related stats. It totally alienates other learners who may be coming from non stats/ non-research/ non-coding backgrounds. Given that this course is part of the larger Interaction Design Specialization that is built for all types of learners, this is a huge problem! You can't even unlock the Capstone Project until you successfully complete this 9-week, extremely difficult course. From learning about social computing you are suddenly watching a series of lecture videos where the professor is just running lines and lines of R codes that he previously wrote and talking in stats/R jargon.
They really need to restructure this course ASAP: (1) Spend more time on teaching and explaining the various stats concepts (2) Examples, exercises, quizzes that help us practice how to choose an appropriate experiment design, identify factors/levels and choose an appropriate stats test (3) Consider other stats softwares that are being used in the tech world today that are WAY more user friendly (e.g. Exploratory- that helps simplify and use R). (4) SHOW US HOW TO INTERPRET EXPERIMENT RESULTS AND APPLY THOSE RESULTS TO IMPROVE OUR DESIGN. (5) OR make this course independent and replace it with something that is actually meaningful to this specialization.
You don't need to learn R coding in order to be successful at most design job out there. If you are an amateur in stats, I would just be really cautious going into this course. It is not impossible to complete but I don't think it will improve your understanding or help you be a better designer.
By Dimitra R•
I'm sure it's a very helpful course for people who specifically need R training or are familiar with statistical computing , but it shouldn't have been part of the Interaction Design specialization. It's extremely complicated, assumes a lot of previous knowledge, and feels hardly applicable or related to the previous courses. It was a complete pain from start to finish, like being back in school in an obscure math class you have zero interest in, especially after completing 6 interesting design courses full of practical assignments. Even the title is misleading as there was nothing about designing, running and analyzing experiments (that actually sounds interesting) - this course is more like 'running data analysis tasks on Rstudio' and that's about it. If we did need some kind of glimpse into this world for the specialization, a simple 'Introduction to Social Statistics' or somethings similar would have gone a long way.
By Tania C•
NOT FOR PEOPLE WHO DON'T KNOW R TOOL!
This course needs an interesting approach to keep students wanting to study. The teaching method was boring. The professor was reading things from the screen 90% of the times (he looked bored himself). The topics covered in this course need more time for students to understand 10 weeks are insufficient.
By Gabriella F•
This is the specialisation that sucks all joy out of the entire course. 6 month on and I am still on week 2. The software and the provided files are not fully working, something is always missing, constant error messages... If you don't have background in statistics, you will have a very difficult time.
By Christoph H•
Overall the videos related to the quizzes are to vague and un detailed, I more often than not feel lost.
Also this should not be part of the interaction design specialisation, and just be a small part of another course.
Not once have I needed R or statistic in my 7 year design career.
By Jayneil D•
The course content is really valuable but the follow up exercises are really difficult to solve on your own. There is not enough explanation given in the lectures by the professor and its really difficult. Some of the answers are incorrect yet no explanation is given.
By Jorge E•
Disappointed ... very technical course and not so practical for today's world, there is a lot of terms and subjects that you require a good background in statistics analysis to understand well. It is a shame that this take part of the specialization program.
By Orit S•
Too much statistics, too much coding and inadequate instruction. This is not a coding specialization and if I wanted to learn coding I would have taken a coding course! This 9 weeks course has been a nightmare!
By Katie T•
This class was terrible. The homework took significant leaps beyond the in-class exercises, it was hard to follow, and definitely overwhelming for someone without R, programming, or statistics experience.
By Anastasiya S•
I have no statistics background so I'm struggling to make any sense out of this course. I wish I could skip it but it is mandatory to proceed to capstone project of the specialization.
By Alwin K•
There are lots of issues with different version of R and the compatibility with some packages. Especially Mac users can't finish specific tasks.
By Muhammad Q•
not helpful , extremely difficult for non programming background people , out of context of the course , bad teaching material and approach
By Wendy B•
Not recommended. Not clear why we need to use R and learn all this statistics. Not practical for use in UX design.
By Keenan W•
Little to no use for me. Should not be included in the specialization... I didn't sign up for a data class...
By Fernando B G•
Needed to much knowledge of the R language and has little to do with design
By Alex K•
This has been the most frustrating experience of my digital life.
By Daryna A•
Too much theory less practical things.
By Dariia O•
It is rather intense (which means - very informative) course and I enjoyed it very much. It helped me understand the principles of the experimental design, how to read data analysis reports and the logic behind statistical analysis techniques.
I've read many negative reviews before starting the course and was very nervous at first. But even without any programming background, it was possible to follow the instructions and complete the coding tasks for me. In any case, the course doesn't require you to code, but mostly copy-paste the provided code and insert new values. You just need to slightly understand what is what in R studio.
All of that being said, I want to add big thanks to the tutor - Jacob Wobbrock. You managed to evoke curiosity towards statistical analysis in me - something I've never expected to happen :D Now I am eager to explore more in this field.
By Carlos M D•
Amazing class. Covers a great deal of statistical methods and explains them in a plain/clear/accessible way with good examples.
It cuts through the chase and gives you what you need to know (the real essentials) from a practical standpoint. You will not get a lot of theory (for that, there are plenty additional courses) but you will get enough theory to select the right method for each scenario.
It will not teach you to program in R from zero (for that there are many other courses) but it will jump start you with snippets of code that you can read, understand, modify, and use.
Real useful stuff... done the proper way...
By Juliana E R•
I could immediatly implement the concepts and instruments provided in this course to my professional activity. I must say that I have a poor training in statistics and a superficial knowledge of R, but I needed to implement more professional usertests (I'm an instructional designer with a background on education).
I really enjoyed the clear explanations; above all, how the concepts where linked to R practice, which was thrilling to me.
Thanks to the team! Great course!
By Julie B•
This course was extremely helpful in understanding which statistical test to use when, with applications specifically for interaction design, which is what I need :) I appreciated the clear relationship between the lectures and the quizzes & assignments. The lectures also were clear. The course was broken up into doable chunks that made it easy to take while still having a full-time job.
By Anastasia T•
That course was going to drive me mad but it's one of the most useful parts of the specialization. I already know where to use it in my job as most people listen to numbers more. I think that the problems that appeared in the process of calculating the results are some bugs in R and have nothing to do with the design of the course. Good job, Jacob and Scott! You're great, guys!
Great course on experimental design providing a detailed overview of running and interpreting factorial ANOVAs beyond the 'standard' t-test and chi-squared test. Given that the bulk of the assessment is based on analysis of experiment data in the R programming environment , I can see why this course may be challenging for those without programming or statistical knowledge.