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Great

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cool

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BEST

good

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非常好！

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This is a really great course, but it is NOT easy!

There is a steep learning curve for people who are beginners in R with the project at the end being quite challenging. The stats part of this course starts with a good learning curve and picks up speed quickly as well. The videos available for this course are generally good quality but could be ironed out a bit more in terms of some rough editing. You can see the age of the video material showing up in some of the videos.

Overall there is good help available on the discussion forums and using the statistics textbook and practicing with the example questions is highly recommended.

The time required as stated for each and every aspect of this course is vastly underestimated, a trained person will be able to finish this in the given time but a beginner can easily double or triple the time needed for the tasks.

Weekly time usage for class and all example questions plus digging for problem solutions in the forums is between 7 and 10 hours, the project at the end for an absolute beginner alone is easily another 10 hours hacking in R plus some extra time getting used to the project material.

Do NOT attempt this course if you can not dedicate enough time for this course!

The course achieves its objectives of teaching R and statistics. Most material is explained clearly and is suitable for beginners. I liked the style of the lectures which weren't boring as well as useful R labs.

I felt that there was a steep learning curve for the programming bit. Having done a course in a different programming language last year, I found this one is quite light on the basics of R. It is good as it forces you to learn through trial and error and google loads but it would be less painful if someone just explained things. I suggest doing https://hua.dididi.sbs/projects/getting-started-with-r, for example, to get a bit more basic understanding (just 2 hours) prior to embarking on this course.

The project at the end took me many hours to complete (a lot longer than advertised) but also taught me lots. Again, if instructions were less vague would have been easier but a challenge can be useful.

Overall, thank you very much for putting this together and sharing the knowledge.

The lectures in this course were fantastic. The professor clearly explained complex topics, and I would gladly take more courses from her. However, I can't help but think that I wouldn't have been able to complete the final project successfully had I not taken previous classes in R. I don't think there was good alignment between the course itself and the final project. Also, the final project involved complex survey design data, but it was not clear if we were suppose to account for this (I assumed not because it seemed out of the scope of the course). I asked this question to the discussion board but never received a response. It was less satisfying to complete an exploratory data analysis knowing that all my numbers were inaccurate because of not taking weights into account. I would suggest a different dataset for the final project.