This was really basic information. It's not really a 4 week course. It takes several hours. The info is necessary, but it's sufficient as a single week of content for a larger course.

The robot voice makes it extremely difficult to fully understand the information presented. I found myself having to listen more than once to ensure I did not miss any information.

Very basic course, I was able to complete the 4 weeks on content in a weekend. I would recommend skipping this module and moving directly to the R Programming course.

Very basic even for people with no DS background.

Issues with quiz having passed and results showing as failed. Inability to speed up and move on to next module

I didn't like how I couldn't do some of the tasks because some steps were missing from videos and texts and there is no help in the course except the forum

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Materials are getting out of date, especially with some of Github's new features.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.

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?