The course was very challenging, and I appreciated the ability to learn at my own pace. I have even been able to use the information learned in this course at my workplace.

Very Informative! and properly put in a 4 week course . After several attempts I was able to pass.. assignments that were application level. Hence very well designed course.

It would be great, if you provide students with some best practices for assignments in the course, so the student can understan how he can do the task even more efficiently.

Assignments are really challenging and informative.

Lecturer explains contents concisely in an attractive manner.

Practical contents, without redundant or time wasting videos.

Excellent course! I enjoyed it, the exercises were really good to solve, its all based on real world problems and pushed me to learn more and clear my understanding, thanks.

I learned a lot in how to use Pandas for data analysis. Even though some of the assignments are tough to complete, you will feel it's worth spending time and practice on it.

Great course to start python data science. I'm not software engineer but was able to finish with the great contents and forums. (it was difficult and time consuming though.)

Much appreciated and really valuable for the remaining sessions of this specialisation. Make sure you do not skip this, even if you already have some experience with Python.

Very well designed course, especially the Jupyter notebook.

Totally accessible and user-friendly for both math/CS/stats majors and those without related background knowlege.

I loved the course. The assignments are challenging enough to keep you interested but not so difficult as to be discouraging. They definitely encourage individual learning.

The hands-on programming window and integration with Jupyter notebook made it 100 times easy to learn fast.

Prof. Brooks were very clear and to the point in all the videos.

The Assignments were especially challenging and intuitive.

Loved the Assignments, I think I can consider myself brushed with Python now.

Pandas Tutorial was also wonderful :D

Great for someone with intermediate experience in Python. A quick way to learn the pandas package, and apply it to interesting examples. A big thank you to the instructors!

Amazing. Highly recommended for someone who doesn't have much working knowledge of python and is looking forward to build some data science skills quickly and effectively.

Lots of things to understand yaa the prof. explain everything very well but not in the deep overall the course is a great start in the direction of becoming a Data Science

Excellent experience. Thanks to the course team for the great job. The assignments give me the opportunity to experience the objectives of the course concepts. Well done.

Very informative and helpful to have first insights on data visualization technics, data charting and guidelines for good and professional data analysis and visualization.

Solid explanations of the basics of python and pandas. Strong emphasis on self-learning in assignments, which may be difficult for those without background in programming.

The course is very good and very demanding. But the assignments estimation time were, for me, really completely out. I used much more than 3 more times the suggested ones.

Great introduction to Pandas and data science using Pandas. Not too difficult but makes one do enough work to use the skills learned for actual data science applications.

The assignments are challenging and will steer you towards googling / roaming through stack overflow. The process of doing so helps improve your knowledge on the subject.

This course is very Useful for the student who wish to start there carirar In the field of data science , This is one of the great course that help the student to learn

Good course for intermediate level data science enthusiasts. This course could have been made better by adding more of coding explanation and a little more python basics.

Great. Just great. One of the first courses that I've taken where I have really been engaged. Lectures go deep and keep the good academic stuff in there for you to learn!

Actually, I am new to Python. To complete this course and the assignments, I have referred to StackOverview, python websites and some references in Github, thanks a lot!