A good introduction to Pythonic data science programming tools. Just bit too fast in exposition for my learning curve. However I liked it.

Mostly good. However the question quality of homework 4 should be improved. The way how questions are expressed is ambiguous and confusing.

Educational materials are more than great. Lectures and notebook resources are A+++.

However, programming assignments are not interesting.

Good but I personally found the time required for the assignments a bit unrealistic, having some basics in programming but not in Python.

The course is very interesting and quite informative. I got a lot of information about Data Science and its application in various fields.

Great course for beginners, as well as for those with previous data science experience with other programming languages (i.e. R Computing)

Overall a really great course with a great deal of skills and information, but i wish the coursework assignments were a little bit easier.

The course was challenging but fun. To complete the assignments you need to research python on the Internet and consult the course forums.

Autograder is hard to understand and has no feedback. Could improve the feedback mechanism, maybe with peer review. Thanks for the course!

Challenging, good overview, I wish there was more drilling in series/dataframes basics before diving into apply to datascience problems.

Assignment 3 and 4 was much difficult then others, I have to submit 3 times and have spent more then 7 hrs. Ultimately i have learn good.

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.