ジョンズ・ホプキンズ大学（Johns Hopkins University） による The Data Scientist’s Toolbox の受講者のレビューおよびフィードバック

Too slow!! Why waiting for others to finalize and rate, enter enough dummy exercises so that the student can complete the course much sooner. Thanks.

Very superficial knowledge. More pratical exercises are needed and daily problem examples. The use of github and his pratical purpose is not clear.

Very average do not feel I learnt much. Still not sure if it's over or not since i've submitted a peer review assignment and cannot go any further.

This could probably be compressed into a single week of setup for the R Programming course. There isn't much in terms of substantive learning here.

Content is good but the thing to tell is that robots can't express actions, only humans can. So please change these videos as human lectures.

I mean, it's replicated in the next classes, and it has silly questions in the practice quizzes. It's not worth it. Just kill this.

Very basic introduction to Data Science. Seasoned programmer or other IT professionals are likely to find this course really weak.

it is a good course but need to show more examples of R. the course should show more empirice examples of the functions of R.

A good intro to the tools required for a Data Scientist. However, could cover the usage of the terminal and Rstudio better.

Not that useful. There is no need for videos. The content can simply be presented in one single PDF in a time-saving way.

Somewhat interesting to get an idea of what can be done with Git / Github, but I don't feel prepared to actually use it.

Materials are getting out of date, especially with some of Github's new features. Instruction not clear in some lessons.

Lectures are ridiculously boring, especially without having any video cam component to bring stimulation to the class.

I do not think it is worth the money as the content is really basic and installation of software can be learnt online.

Too little content. Can finish the entire course in a few hours. Could be compressed into the first week of a course

If you can install R & RStudio and sign up for Github, then you're 80% finished with this course before you start.

Link does not blue-highlight in the last question and confuses the graders to think that the link does not work.

Basic setup of R and Git.

Prefer Treehouse's integrated workshop structure for tasks like these and/or youtube.

Extremely remedial. Not worth the time or cost on it's own, unfortunately it's required for the specialization.

Is this entire course going to be watching videos of powerpoint slideshows, wrapped in a rather buggy website?

they made this many courses as they can earn more money.I dont think this course should me taught seperately

Very, very, very basic intro. The entire 4 weeks could have (and should have) been condensed into 1 week.

I didnt learn anything about data science. I could have learned how to install all those tools by myself

There just wasn't much to this class. It's not bad information, but it could have been done in one week.