clear instructions and fulfilling path to succcess

Excellent, but the pace of Week 4 is a bit rush.

Excellent course from Duke University

Very pertinent! Merci beaucoup!

Clear , engaging, instructive.

Teaching style is awesome 👍.

good it's very helpful!

very thankfull

Great delivery

Great Course!

Excelente

Best

Nice

ok

This course is well-suited for beginners, offering a good starting point for those new to the subject. However, the labs feel too simplistic, and there's room for improvement in covering concepts thoroughly. While it provides a foundation, students may need to supplement their learning to dive deeper into the material. Adding more challenging exercises and ensuring comprehensive coverage of topics could enhance the learning experience.

Great introductory course. Learned a lot about Python from not knowing anything about the syntax or capabilities of the language. I think my experience in web development was an overall assistance toward progressing through the course quickly. Not all of the quiz questions are accurate. This needs to be fixed.

Great course. Good step-by-step explanations, examples and exercises. I would have expected a little bit more content in this first course, but in summary it really focuses on the very important things to learn which seems to be really valuable for me.

I enjoyed learning python panda and numpy, but I don't understand why I had to learn VIM, vscode, and git. That stuff was so boring and I dont see the use

Good for quick basics of working with bash, github, python, virtual environments and such

It's all overview tool that need to use for work in data engineer

Great introduction to how to set up your python environment.

I enjoyed this course and will recommend it to everyone.

I did like the course but it is very basic.

Good review of tools and languages.

A good beginner course into python.