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学生对 加州大学圣地亚哥分校 提供的 设计,运行和实验分析 的评价和反馈

565 个评分


You may never be sure whether you have an effective user experience until you have tested it with users. In this course, you’ll learn how to design user-centered experiments, how to run such experiments, and how to analyze data from these experiments in order to evaluate and validate user experiences. You will work through real-world examples of experiments from the fields of UX, IxD, and HCI, understanding issues in experiment design and analysis. You will analyze multiple data sets using recipes given to you in the R statistical programming language -- no prior programming experience is assumed or required, but you will be required to read, understand, and modify code snippets provided to you. By the end of the course, you will be able to knowledgeably design, run, and analyze your own experiments that give statistical weight to your designs....



Nov 17, 2020

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.


Nov 28, 2020

Great course.

Highly 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.


26 - 设计,运行和实验分析 的 50 个评论(共 213 个)

创建者 cristina m

Jun 25, 2020

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.

创建者 Sabina S

Feb 3, 2021

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.

创建者 Pariya K

Nov 18, 2020

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.

创建者 Maria d C D S

Nov 28, 2020

Great course.

Highly 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.

创建者 Dylan S

Jun 4, 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!

创建者 Maria P

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.

创建者 Sanjana J

Jun 6, 2020

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.

创建者 Dimitra R

Mar 29, 2020

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.

创建者 Tania C

Jan 9, 2017


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.

创建者 Gabriella F

Apr 6, 2017

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.

创建者 Christoph H

Apr 3, 2016

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.

创建者 Jayneil D

Nov 6, 2017

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.

创建者 Jorge E

Apr 4, 2016

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.

创建者 Orit S

Apr 11, 2017

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!

创建者 Katie T

Jun 3, 2017

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.

创建者 Anastasiya S

Oct 23, 2017

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.

创建者 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.

创建者 Muhammad Q

Oct 19, 2017

not helpful , extremely difficult for non programming background people , out of context of the course , bad teaching material and approach

创建者 Wendy B

Mar 24, 2016

Not recommended. Not clear why we need to use R and learn all this statistics. Not practical for use in UX design.

创建者 Keenan W

Mar 20, 2016

Little to no use for me. Should not be included in the specialization... I didn't sign up for a data class...

创建者 Fernando B G

Apr 22, 2018

Needed to much knowledge of the R language and has little to do with design

创建者 Alex K

Aug 29, 2017

This has been the most frustrating experience of my digital life.

创建者 Daryna A

Dec 16, 2016

Too much theory less practical things.

创建者 Dariia O

Oct 7, 2020

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.

创建者 Carlos M D

Sep 23, 2016

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...