Отзывы учащихся о курсе Набор инструментальных средств для специалистов по обработке данных от партнера Университет Джонса Хопкинса

I think this course could be integrated into the other ones of the specialization, or, if it is meant to be just a course to get an overview, be free of charge.

Helps to get the initial environment setup for the Data Science specialization.

Certificate received after completing the course is not effective/useful at all.

No subtitle in French as announced

It would be great to have the power point bigger when reading

The guide for connecting Rstudio and GitHub needs to be updated

it could have been better if it was more hands-on learning, for instance I don't understand why did we learn CLI till now and how will I link it to my studies

Might be a good introduction for those completely new to computational tools, but not useful for those with any background in git or R. Can be safely skipped.

Good course about getting the basics for the Data Science specialization, but a bit overpriced, as the content is low, and can easily be done in 4-5 hours.

You don't really learn all that much, but then again I have experience with R and some data stuff already, so perhaps it'd be more useful for someone else.

It was a great start to data science but also students should have it in mind that the material presented in the course won't be enough to get through it.

I understand the text to voice automation was done due to cost reasons, but listening to the automated voice is VERY exhausting! Otherwise great content.

A very basic overview on Data Science. You learn how to use git, rstudio, and other tools though. The other courses of the specialization are way better.

This course should be a free trial for whole specialisation. IT will be more helpful for students to know what is further stored in the specialisation.

If you already know your way around git and basic programming this is not a very interesting course.

I feel it should be included in the specialization.

The word 'toolbox' made me think there was more in the course. 'Introduction' or maybe' Overview ' may have been more accurate. Good course otherwise.

I was hoping to learn more stuff I didn't already know. This class is more of just a vague overview of the other courses. Can be completed in 1 week.

Its was pretty good. I'm not really sure how important it is to learn Git so soon but it must be used in the next classes so I am excited to find out.

A good introduction to the course. Opening up quizzes to help feedback what we'd learned (for free learners) would have made the course much better!

Everything is fine

I think they had better not include the GitHub thing in it without clear explanation.

It takes me too much time on that assignment

Not much of a course, I understand why it exists, but it's basically just getting setup with the environment. Almost not worthy of course status.

it gives you the necessary tools and knowledge for just beginning the data mining course. so you cannot expect to learn about the process itself.

Less Content, should be more technical. Mostly repetitive from the the crash course in data science. Should have put an optional videos for git.

THE COURSE IS GREAT BUT SOMETIMES IT IS HARD TO UNDERSTAND CERTAIN THINGS AS THE LEVEL OF UNDERSTANDING FOR SOME CONCEPTS IS NOT UP TO THE MARK

I think this course has too many theory, I think it should contain more practical example for us to try....and too wordy

But overall it is fine

Too much material. Too soon. I am new to R and the stuff was a bit overwhelming. The course got easier as I advanced through the other courses

The content is very basic. The whole course took my around 6 hours to finish. I think the instructor should add more solid training on GitHub.

Estudar com essa inteligência artificial falando é IMPOSSÍVEL. E o material escrito só está disponível em inglês. Isso desvalorizou o curso.