2020년 11월 17일
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.
2020년 11월 28일
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.
교육 기관: Juliana E R•
2017년 6월 7일
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!
교육 기관: Volkan Y•
2022년 3월 5일
Improve the course: more feedback, more verbal interpretation on the results, and more text on why its Right/Wrong. Learning from Errors, Learning from Feedback is cruicial (Learning Scientists => Bjork, Dunlosky, Metcalfe et al) You should learn a little bit R before. Also knowing something about stats, research methods is also very helpful. I can imagine, that some students without stats background are a little bit lost with this course.
교육 기관: Ann T•
2021년 3월 12일
I've taken a few stats courses many years ago. I wanted a good overview of how to do a range of statistical tests within R and an introduction to GLM, LMM and GLMM. This course really fit the bill for me. It is also helpful in sorting through the huge "ocean" of R packages to figure out a useful subset that work together. The sample code provided by the instructor is an EXTREMELY valuable starting point.
교육 기관: Julie B•
2018년 10월 17일
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.
교육 기관: Anastasia T•
2016년 6월 8일
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!
교육 기관: Victoria D•
2019년 8월 13일
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.
교육 기관: Gez Q•
2016년 10월 2일
Excellent course. Very well organised. Challenging yet satisfying. Jacob Wobbrock is a very good tutor and despite the complex nature of the course material, he is engaging and thorough in his approach but leaving just enough for the student to explore and practice on their own. Very enjoyable. Thanks
교육 기관: Timo S•
2018년 3월 3일
This course was an deep dive into data analytics and designing experiments for analytics. Although there was a great requirement to perform the tests by yourself - which i guess some designers don't appreciate - it still was an exciting and challenging experience!
교육 기관: Lance F•
2018년 3월 17일
Great course! Very applied and less theoretical which is great in understanding how to analyze experiments without getting too deep into the theory. Would love a follow up course that dives deeper into the mechanics of the functions used in this course!
교육 기관: Olena B•
2016년 6월 27일
It's a great course. It is very well structured and provides a foundation of research and I am glad that it is a part of Interaction Design specialization. However, might be extremely challenging for people without Statistics experience.
교육 기관: Giny C•
2019년 6월 2일
A challenging but very fruitful course.
If you do not have sufficient statistics background, you will find it much more challenging and need to pay much effort on it.
Having said that, you can learn a lot of practical and useful concepts.
교육 기관: Maria A•
2016년 12월 1일
This is a thorough course, but was way harder than I expected. I needed to understand the experiment design more than to learn R programming language. I am glad I did, but it was hard for me and took a lot more effort than anticipated.
교육 기관: Flores-Andrade, E•
2020년 1월 3일
Excelente curso. Todos lo temas fueron explicados muy bien. Los comando R muy prácticos. Ejemplos reales. Lo único que me gustaría es que presentaran un libro para profundizar en los conceptos estadísticos y ejemplos prácticos.
교육 기관: Jonathan S•
2017년 6월 22일
A very complete tour of methods for analyzing experimental results using R. Its more about practice than theory, but it filled in crucial gaps in my knowledge and I expect what I learned will be very valuable moving forward.
교육 기관: Parul K•
2017년 7월 19일
Great course, easy to comprehend various tests/models and their usage! Definitely recommend to anyone running A/B tests. Would be nice to have a short video on which tests are related to multivariate testing.
교육 기관: Anna R•
2017년 5월 18일
It was very helpful for me, thank you! I thought that I will never be able to make this challenging course, but after completion I think that I have courage to design, run and analyze experiments on practice!
교육 기관: Faraz A K•
2019년 3월 10일
as a first introduction to the analytical side of quantitative/ qualitative experimentation amazing course, pulls you in... it is tough and requires more time than what is mentioned... but totally worth it.
교육 기관: kinsley n•
2020년 7월 5일
Great and Challenging course material. The course will make it easy for you to understand what kind of experiments to conduct in different scenarios.
교육 기관: Beatrice S•
2020년 6월 22일
The only course worth doing in this course series. Very clear to the point and helps to learn a bit of statistics that you can use.
교육 기관: Samantha S•
2022년 2월 22일
Thrown in to this with little programming background. Sink or swim situation. I swam. It was a challenge and I learned so much!
교육 기관: Ilya M•
2021년 11월 6일
For those who know R, at least a bit, the course will give a quick and very hands-on introduction to analyzing experimental data.
교육 기관: Wirawan A•
2021년 3월 14일
Very good course! A comprehensive overview on how to conduct experiments and various analyses. Very helpful for my PhD research!
교육 기관: ZHUO W•
2017년 7월 25일
Have to watch three times to keep up because it is really hard for people without former experiences... Anyway it is worth it
교육 기관: Jon T•
2017년 4월 17일
Really great course on statistical tests for experiments. The long quizzes are a little annoying, but helpful in the end.
교육 기관: Abril G•
2021년 5월 5일
This course is the best of all. Jacobo put a lot of effort into designing the exercises and videos in R. I