The course is really good but a little more insight to pandas would have made it even better and also the auto-graders is a little buggy.

Assignments of the course are more educative than video contents . Because videos include short and insufficent information about topics.

A good course overall.The assignments are challenging and promote a lot of self learning.The Jupyter Notebook integration is also a plus.

Very good explanations of course material, interesting assignements, but some instructions in graded assignements were not always clear.

Overall very good. Like the lecture styles. Some of the questions in the assignments aren't clear, but the discussion forum helps a lot.

Good training for beginner. The last assignment seems to be quite challenging but once delivered helps a lot to increase the confidence.

This course is was very challenging since I have to pretty much learn python on the fly and then understand the data science part of it

It provides you with very good learning experience , though i felt for introduction to data science , the assignments are little tough.

Course videos provide good examples of using methods, but prepare to teach yourself from StackOverflow when completing the assignments.

Good course to start learning python and some of it's application.

Week 1 and 2 videos are very fast forwarding on python for beginners.

The demo speed is too fast for the new average learner, but we can always stop and rewind. Assignments are lengthy yet too informative.

Don't think this should be classified as "Beginner Specialization. No prior experience required." Need at least some coding experience.

To be honest, I think the course is very good, however, it may be need to more clear on the description of the questions in assignment.

Thank you for this amazing Course, I really learned a lot during the entire 4 weeks. everything was easy to learn and well organised.

The course is good, but the autograder is absolutely horrible, spend hours figuring out how to force autograder to accept my solution.

Generally, it is very useful course, and provides lots of resources. However, I believe that they are areas to make the course better.

The assignment is quit hard and students need to do a lot of research to pass. But you can learn a lot of things through this process.

I loved problems and approaches. There are definitely some key topics which needs more practice, hopefully with time this will evolve.

There was a lot of self learning required to complete the projects, I'm not sure the lecture portion of the course is worth the money.

Tough course. Great exercises increasing in difficulties and are without much training wheels. The videos are a bit too fast for me.

I would like to have seen more detailed teaching on Hypothesis testing and how it applies to python before tackling the final project.

The assignment wordings are ambiguous. Clear instructions are needed with a sample of the end product showing data type/format/shape.

Muy completo el curso, pero los assignments no concordaban completamente con lo visto en los videos (su dificultad era mucho mayor).

If technical points can be explained in more details, the course will be more attractive. Overall, it's a very fantastic experience.

I had to rely on the feedback from the forum for the final week's homework. It was impossible without reading everyone's questions.