Too little of expounding and too much of searching the net by oneself. Too few examples. It is a self-learning but what's the Course for then?

Do more examples & explain more theory on screen, rather than have the camera focus on the lecturer.

Highly useful intro tutorial. Thanks team.

if you are new to the field this should be in your way to excel. had a great time . pls do refer to the books suggested it is surely necessary

Great course with everything well explained.

Its just the assignments are a bit tough and you have to explore a lot to get the answers right.

The Structure of Course is Great!! Although I would love to have mentors explain concepts a little more. Overall a great introductory course.

The help in the forum was good, the assignments were fun although I always had some problems with the grader at first, some resolved some not

The assignments were challenging and cool. Lot of self-study needed to crack them. The lecture videos could have been a bit more interesting.

The assignments were very interesting and the teaching also was very good. The main help was the provision of notes in the jupyter notebook

assignments quite challenging , way more time needed than the est. times given by coursera. happy I could finish it. on to the next course !

Curso interesante para iniciarse en la librería pandas. A veces vas algo perdido pero dedicandole esfuerzo y atención aprendes muchas cosas.

Could have been more challenging and worked with more interested bigger datasets but was a great way to get up to speed on pandas abilities.

The course is really nice, hands-on all the time. Some questions of the assignments could be improved to avoid ambiguity/subjectivity tough.

Not beginner friendly, great assignments which require "stackoverflow" skill. you actually learn from assignment. Videos are not that great

good course overall but there needs to be more information on code profiling/optimizing it is really required to pass a part of question 4.

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.