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.
創建者 Luis A G•
May 19, 2017
The video lectures and the r code supplied are of excellent quality, and the concepts were explained in a very simple and concise way. Despite this, the Professors' participation in the Discussion Forums was nonexistent, which in some cases was very necessary since some of the quizzes required some explanation.
創建者 Cirus I•
Apr 01, 2019
A good course providing the fundamentals for doing tests of proportions and analysis of variance. The former is well covered; the latter, being a bigger subject, in a bit less detailed manner as complexity increases. The accompanying R code provides a good basis with which to further investigate.
創建者 Jess C•
Apr 29, 2017
Tough course to get through and very different to the others in the specialisation but knowing about statistics has given me a different view of the world and I have really gained something from doing it. I can hold reasonable conversations with data analysts and the like now.
Aug 23, 2017
Great course. The title is speaking and I found what I was looking for.
Great balance between theory (not much) and application (a bit more).
I used different statistical tools in different situation,
everything in R (you mast have a bit of knowledge of it).
創建者 Holly D•
May 02, 2016
This course was put together with lots of thought and care, and I appreciated the thoroughness of the files and assignments. The content was quite dry, and I'm not totally confident in my abilities to execute the tests in real life.
創建者 Denys K•
Mar 29, 2017
Some times i felt lack of explanation. Because there is a lot of math. And quizzes are too big (10 + 32 questions on Week 7). But overall i would say that this course is the only one to which i will definetly come back
Dec 27, 2019
It's a hard course. It's better to have some statistic knowledge. I got a big picture of various methods after finishing this course and I think I need to search for more material to better understand them.
Feb 27, 2019
Without any background in R programming and experiment design, I am able to learn a lot of useful stuff in this course. I wish the last three lessons and quizzes are a little more beginner friendly.
Jul 02, 2020
This course covers a very wide range of statistical methods but it could use more references to explain in more detail the different tests used. Overall this is a good overview.
創建者 Aswin J E•
Sep 09, 2020
While the course if useful as an introduction to spectrum of tests used in experiment design, heavy external reading is required to truly understand the concepts in depth
創建者 Louis S•
Nov 08, 2017
Great module but it was very difficult for me as I am a 'non-coder' and R Studio was at times very buggy, so my suggestion is to structure the course differently.
創建者 Yao W•
Jul 24, 2017
Students need to acquire additional knowledge to really understand the content.
The courses tend to deliver arcane content in a very sketchy way.
創建者 kumku q•
Oct 26, 2017
I have noticed some of the tests require knowledge that is gained in the next week. I would suggest fixing that.
創建者 Andrea L•
Jun 17, 2016
The instructor for this course was great. He was very responsive to students' questions concerns.
創建者 Ken O•
Oct 17, 2016
Designing experiments wasn't what I thought, and had a very steep learning curve.
創建者 riley i•
Mar 14, 2016
Thank you for designing a course that demonstrates that UX is not just painting!
Jul 29, 2018
Great course, a little too long compared to other courses
創建者 ujjwal d•
Mar 23, 2019
Very very helpful for my game design project.
創建者 Guyin L Y•
Aug 31, 2018
More comprehensive than in-depth.
創建者 Mohini D•
Jul 11, 2020
Very analytical and challenging!
創建者 Saira B G•
Aug 20, 2016
It looks great
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.
創建者 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!
May 15, 2017
The content of this course is quite difficult, especially if you are new to R, and there are no moderators or TAs available to respond to questions or discussions about the content. Nobody replies to the students in the discussion forums. This is surprisingly inconsistent with the rest of my experience with the courses in this specialization. I would warn anyone thinking about taking this lengthy course to realize that you will be alone throughout the class and you should be ready to figure things out alone. Also, during Weeks 7-9, the quiz questions don't seem to relate to Prof. Wobbrock's lecture material at all. I took copious notes and that didn't help me identify where the quiz questions came from.
創建者 Seetha T•
Jun 21, 2017
The professor for the course was able to explain well on most of the concepts on the r programming behind the designing, running and analyzing experiments. He went a little fast on the videos but I was able to catch up by reviewing the transcripts and pausing /playing the videos. The part I was not happy about was that there was no mentor in this course who helped out the students on the discussion board in facing issues of setting up r programming and r studio and also understanding how to do r programming. I was a bit surprised that R is used in interactive design because I heard the main programming languages when it comes for UX researchers and designers are focused on java, c++, and sql.