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.

this goes through the basics once again. a very good course to brushup the forgotten python scripts on data handling and cleaning...

My humble request is that content should be more elaborated with examples so that its clear as what the instructor wants to convey

Very good course to manipulate data with python. My only issue is that the assignments need to be elaborate or described in better.

I think the questions should be better explaneed in the anouncement at the avaliations. Especially whats is expected by the grader.

It was so challenging for an introduction course. However, it helped me a lot to improve my skills in Python Pandas. Thanks a lot.

The course is good for learning new in Data Science, but some exercise should not to difficult and correct how to check the result

My review is actually 4.5, which I cannot enter. Would rate as 5, but unclearness of the final assignment made it too frustrating.

Sometimes grader was too picky and i spend many many hours trying to figure our mistakes, that were only wrong datatype and so on.

The course is great, there are challenging assignments, great for those who want to learn the basics of programming/data analysis.

The assignments were pretty good, making one to go advanced into python. The teaching could be bit slower paced with more content.

Nice course for intermediates and beginners.This course becomes quite challenging and difficult to grasp as the course progresses.

All the ingredients are there, but it would be nice to have more hand-holding given the ramp-up in difficulty in only a few weeks.

Good basic foundation is imparted by this course about Data Science. Recommended to any beginner who wants to learn Data Science.

I loved the assignments but the video lectures lack all the info needed to do the assignments. assignments require self learning.

I wish we had more examples and datasets in this course. Overall, it is a good way to start and learn how to use NumPy and Pandas

over all good content, assignments were good, one thing i find it hard is pacing, it's sometimes too fast, but it is worth taking