Well structured course!

This is a great course!

This course is good.

Very useful!!!

great course

Best Course

Excellent.

Great!

This course was a hard course, probably the hardest from the whole specialization. Very technical, sometimes even troubleshooting R Studio would take an hour of researching through online forums to try to get the right plugins and work random issues with the software and follow along. Stats background and coding background were really helpful personally, I'm not sure if I could have completed it without that. Definitely needs dedication and extra hours a week to complete. Aside from that, the professor is clear and knowledgeable, and the tests are directly extracted from the materials reviewed each week. I suggest taking notes while watching the video to refer back during the tests.

I found this course hard, but very rewarding. R is a tool which I see more and more frequently on job postings so I'm grateful for having had an introduction into the syntax and the tool. My only issue with the course was that, as this wasn't a programming course and was just an introduction into the tool, I had no way of troubleshooting problems when I had error messages or my answers were incorrect. I struggled to know how to fix my test answers when they were wrong and had to re-do most of the analyses until I got different answers.

That being said, the course materials were excellent and have provided a brilliant grounding into the tool which I'm sure to use into the future.

I do see and understand other students frustrations sometimes when the code isn't working. R is not really a beginner friendly coding environment but I think all the parametric and non-parametric testing methods I learned in this course were overall valuable. This is also a difficult topic to teach within the amount of time given. I think Jacob did a good job. Sometimes, I think the difficulty comes from the quizzes, and if the video lecture can have more examples to walk me through, it would been a better experience.

This is a really well-run course. The lecturer explains complex topics in a very simple way and is obviously very passionate about his subject. He is also far more engaged in discussions than any other lecturer. Unfortunately tis a total mismatch in the Interaction Design specialisation. We need to know what results mean and how to use them, we don't need to be able to calculate them to this level of detail ourselves. This should be pitched at a much much higher level for it to be a useful part of the specialisation.

R is the hardest course for me for the whole Interaction Design Course so I went back to learn statistics from 0 at Khan Academy and came back to code R. I feel so accomplished when I passed all the tests! I think the course is well-explained but would like it better if it can offer some recommendations at the beginning of the course about 'must-know knowledge' (i.e. basics of statistics) for students coming from art background.

I think this course missed an opportunity to teach ways to run real life experiments in abstract of R-Studio. Instead, this was an R-Studio course in running experiments in abstract of what or why you would want to even approach these types of experiments. It didn't fit the specialization IMHO, but I did find it valuable as someone who is re-approaching and deepening my existing skillset.

Great course! It was difficult, but mostly due to my lack of basic knowledge about statistics. A primer lesson would have been great. But with some research on some topics on my own I could complete the course with a sufficient understanding of the concepts.

I found the lectures and assignments to be very clear and concise. Props for the professor ;)

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.

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.

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.

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).

Recommended.

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.

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

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.

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.

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.

Students need to acquire additional knowledge to really understand the content.

The courses tend to deliver arcane content in a very sketchy way.