This an excellent course for people who want to refine his skilfulness using Python for data analysis with Pandas, and specially his capability of self learning from internet.

It is a kind of Learn by yourself course.

A well structured course with an extremely helpful and responsive teaching staff. I appreciate the fact that the course encourages students to do further research on approaches to answering the assignment questions.

Overall it is a good course, learned a lot of good things, only the overly optimistic agenda for the assignments was the problem. I had to spend much many hours than the estimated time in order to get the job done.

Good lectures and a good introduction to the subject matter. Definitely requires additional research and practice is weak on Python and the Pandas library. The comments in the auto grading could be more helpful.

A little too hard and vague on the assignments. A really well done course with an in depth approach, a lot of your own learning, a lot lot lot of time debugging your assignments, and great assistants on the forum.

Good but found the final assignment a slog given I couldn't care less about American sports. Something more universally accessible as a topic would be better for an introductory course with an international cohort

You teach well but you need to take some more classes dedicated towards solving problems.

You need to make us all solve a wide variety of problems and then give assignment. This is the only thing that was missing.

A bit hard course to start with. If you are looking to enter in the field of data science, better don't go with this course. But if you have some basic knowledge of field then it's awesome. Thumps Up!!! Go For It.

Is a great course, I don't give it 5 starts not because it is pretty tough (at least for me) but because the lectures are very simple compared to the HW. If you like to be challenged, I fully recommend this course

The descriptions of the tasks are awful. It's not really clear what to do. In the forum you can see, that many other people have the same problem...

The explanations are excellent, and I really enjoyed the course.

Overall the course is pretty comprehensive and requires quite a bit of experience in coding. The lectures are precise and directed. However, some lectures should incorporate further explanation and clarification.

The lectures could have have been more detailed as learning self might be difficult foe beginners. The Assignments were very good and an active discussion forum helped in solving those.Overall I liked this course

a brief introduction to data science in python,and how to use the library 'pandas' and how it plays an important role in data cleaning is being taught,indeed a good course to kickstart for data science in python

This is good course as a whole, but lecture videos are a little short for assignments and sometimes assignment's definition is not clear. So it's hard to complete assignments without the help of discussion forum.

Thanks God I'm just after "P4E"-specialisation, but anyway it was difficult. Additional resources was needed through all assignment. Real help was/is/will "Learning Pandas'-book!

4-grade just for difficulty reason

The questions for the assignment could be more clear with a sample output. Also, the instructions for the assignments could be clearer. Apart from these, the course is fantastic to get started with data science.

Lectures are VERY dense with material. I needed to pause the video and study the learning point (using jupyter notebook and Python API) to absorb it. That said, I was new to Python, which also slowed me down.

The course is fantastic. Lectures are clear and informative. Assignments are well-designed and encourage studying. Grader is not great, this adds up to frustration and reduces the overall score for the course.

Felt like a real college course in that more learning occurred outside of the lectures.. I'm excited to see what the new course version will include, it looks promising based off what they say will be added.

The course is really good and easy to learn. Only thing is that the content is less. Maybe because it's just the introduction. But overall, course is good and one really get to learn basic about data science.

This course is amazing. Explanation are good. Assignments really provide some exciting challenges which create curiosity to find multiple ways of achieving a result. Looking forward for same with next course.

It's a bit fast-paced for new learners nut is a perfect way to dive into the applied world of python for intermediate learners. I would highly recommend this course(12/10).

Thanks for the AWESOME experience!

I thoroughly enjoyed it. The pace for week 3 and 4 were a bit fast given that it was 1 month course (at least for me, as someone with full-time job). I look forward to playing around with Pandas and Numpy.

It was an interesting course i came to learn a lot of new things under python like how to use the pandas, Matplot and Numpy libaries. It has taught me how the data are being process under the pandas libary.

This course is quiet hard as compared to Python 3 specialization courses. Use of interactive textbook just like in Python 3 course would have been better along with jupyter notebook. Course content is good.