The course had helped in understanding the concepts of NumPy and pandas. The assignments were so helpful to apply these concepts which provide an in-depth understanding of the Numpy as well as pandans
overall the good introductory course of python for data science but i feel it should have covered the basics in more details .specially for the ones who do not have any prior programming background .
автор: Leon V•
Don't think this should be classified as "Beginner Specialization. No prior experience required." Need at least some coding experience.
автор: Qinzhe Z•
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.
автор: Houssam B•
Thank you for this amazing Course, I really learned a lot during the entire 4 weeks. everything was easy to learn and well organised.
автор: Andrii M•
The course is good, but the autograder is absolutely horrible, spend hours figuring out how to force autograder to accept my solution.
автор: Huseyn G•
Generally, it is very useful course, and provides lots of resources. However, I believe that they are areas to make the course better.
автор: Deleted A•
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.
автор: Spenser P•
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.
автор: PeiDa K•
Tough course. Great exercises increasing in difficulties and are without much training wheels. The videos are a bit too fast for me.
автор: Alexander C•
I would like to have seen more detailed teaching on Hypothesis testing and how it applies to python before tackling the final project.
автор: Yang Q•
The assignment wordings are ambiguous. Clear instructions are needed with a sample of the end product showing data type/format/shape.
автор: Qihang Z•
If technical points can be explained in more details, the course will be more attractive. Overall, it's a very fantastic experience.
автор: Ken I•
I had to rely on the feedback from the forum for the final week's homework. It was impossible without reading everyone's questions.
автор: Shanaka J•
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
автор: Koffi M K•
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.
автор: DİLARA Ş•
It was so challenging for an introduction course. However, it helped me a lot to improve my skills in Python Pandas. Thanks a lot.
автор: hai h•
The course is good for learning new in Data Science, but some exercise should not to difficult and correct how to check the result
автор: Grigory M•
My review is actually 4.5, which I cannot enter. Would rate as 5, but unclearness of the final assignment made it too frustrating.
автор: Dentko, T•
Sometimes grader was too picky and i spend many many hours trying to figure our mistakes, that were only wrong datatype and so on.
автор: André Y•
The course is great, there are challenging assignments, great for those who want to learn the basics of programming/data analysis.
автор: Venkataraghavan P K•
The assignments were pretty good, making one to go advanced into python. The teaching could be bit slower paced with more content.
автор: Saumitra K R•
Nice course for intermediates and beginners.This course becomes quite challenging and difficult to grasp as the course progresses.
автор: Francisco C•
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.