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.

A bit odd this one. It hase some points, but most of the training is looking on what the other courses are.. Like paying for commercial :-)

The course was just fine, but I don't think we should spent entire 4 weeks on it. One or two week for this course would be better I think.

This course is very basic for a person with an IT background, but nevertheless might come in handy for people without relevant experience.

Good overview intro, but assignments only measured that you were listening, they did not require applying content to any new challenges.

Difficult to follow the robotic voice at a speed of 1,5; the links simply don't workAnd, known bugs on LaTeX need to be found by googling

The written materials were excellent but the videos were boring due to the AI voice. it made it difficult to engage fully in the course.

There is a slight lack of clarity in videos in terms of audio and also in terms of what exactly the author/lecturer is trying to convey.

thank you for the course it was useful. However the machine voice is really annoying and make fell uncomfortable and unfocused all time

Course content meets the standard. However, the computer voice is really terrible. I suggest you switch back to human voice teaching.

It's a very basic course and easy to get through. I wish that they wouldn't make you wait to get to the next section of this series.

Gives a good overview of topics and the specialisation, however is still very basic. I'm looking forward to the next advanced courses

Some of the information for this course seemed to be missing and I felt I had to either guess a lot or search the internet for help.

Good as just an introduction to data science. Some more exercises using Github, maybe some collaborative works would have been nice.

The "robot voice" speaks really fast making me having trouble to understand the content several times. Overall it's a great course.