My favorite course, at least it gives me an argument why scripted statistics is awesome and can be applied to a number of data related activities. Recycling chunks of code has proven useful to me.
A very important course that greatly improved my ability to communicate the findings of any sort of data analysis that I perform. This is a critical skill to acquire to "deliver the means."
por Gianluca M•
It is not a bad course, but it is very little informative. There is some nice general discussions about data science by the teacher, there is the explanation of the package knitr, and little else.
As part of the data science specialization it is nice. As a stand-alone course, I would definitely not recommend it.
por Julien N•
Very disappointed by this course (was used to better by JHU)!
Nothing more than a R Markedown tutorial
Not up-to-date (a full video about an deprecated R package).
A section about evidence based analysis that is hard to understand (and of questionnable interest if not to "fill" this rather empty course)
por Roberto M•
This course seems 'light' in content - too much time is spent reviewing case studies instead of discussing different ways to create documents that enable reproducible research. Perhaps this should be a topic/chapter in another course, and not a standalone course.
por Marvin T O•
Reproducible research with doubt is important but videos and what it is discuss are not appealing and beyond that, what are worthen are the projects. I did not learn so much from the videos but by myself. Though, the forum is very useful.
por Matt E•
This section could have been completed in a two week schedule instead of four. It is not a terribly complex subject. Statistical inference, however, is. It has a lot of content and could easily go for 5 or 6.
por Jackson L•
This leaves a lot to be desired. I felt the lectures were fragmentary at best and really lacked in depth analysis. A lot of time was spent on the philosophy of analysis rather than practical tools in R.
por Willie C•
Lecture videos were very repetitive. Course projects were repetitive, too. Important information, but didn't need to be stretched out over a full "four-week" course.
por Abhimanyu B•
Provides a very summary overview of a very important aspect of data analysis. Expected more!
por Johnny C•
The course was interesting, but it is bad many of the videos are recorded lectures.
por Pratik P•
Sholdnt be a different course. It shold be very very concise. Not this long.
por Victor M•
Last two weeks do not teach anything new
por Cyriana R•
ok, but the focus is too much on knitr,
por Sindre F•
Useful for academics.
por Avolyn F•
I was really passionate about the subject matter, but, although I have experience in R, apparently not enough to complete the assignment. Would have liked a little more warning that this would be needed, I was more interested in the topic of Reproducible Research, which while I agree is easier done via code of some kind, shouldn't be a topic specific to R, should be applicable to Python, SQL, whatever.
Might have time to revisit this, but will probably need to take a few more R classes to even be able to complete, likely won't get around to it, but the first 2 weeks were worth the cost of paying for a certificate, I guess.
por Owen D•
This course could've been condensed into one video and incorporated somewhere else in the specialization. Doesn't seem like the instructor even took the course that seriously despite emphasizing its importance in the first lecture. Some of the lectures sound like they were recorded while the instructor was drinking with his colleagues at a dinner party.
por Joel K•
The other modules that I have done in this specialisation have been great. The lecturers are insightful and the courses have been at the right pace. This particular module was flat, to say the least. I paid €43 to learn a small amount of markdown syntax, and the quizzes and the weeks didn't even match up!
por matthieu c•
The course presented an important topic, but it was not new to me. Moreover I believe that the quality of some audio track is not good enough to understand everything the lecturer is explaining. I'm referring to Roger Peng lecture with the students.
por Stefan H•
Very repetitive in context of earlier introduction to the topic and also throughout the weeks. Generally it doesn't feel there is much of a take-away and not sure it deserves its own course.
por YAN N W T•
Not much to take in this course comparing to the previous courses. Worst of all video lectures are not well organised.
por Anand M•
Too much repetition; one video has been stretched into 10.