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
This is the practical course.There is some concepts and assignments like: pandas, data-frame, merge and time. The asg 3 and asg4 are difficult but I think that it's very useful and improve my ability.
por pouya S•
Assignments are great to reinforce your learning. But the instructor does not cover many topics and leave you with a lot of questions unanswered.
por Hanwen L•
Please update the auto-grader such that is it compatible with current version of Jupyter notebook, very frustrating dealing compatibility issues
This course is a nicely organized. However assignments are not completely clear. Especially assignment 4 needs more explanation and details.
por Joel B•
Subject matter was very good. Some of the assignments were not clear on instruction, and some of the Coursera functions were buggy or broken
por Paul A•
Material delivered a bit too rapidly to effectively assimilate. Often, further external research is needed to find solutions to assignments.
por John W•
I don't think this is a good enough course to "teach" you "data-science". All this does is give you an overview of things you need to know.
por Ahmad A•
The assignment descriptions needs to be precise (with psuedo code).And the statistics part needed a lot visualization to aid understanding.
por Jordan K•
The material is valuable and taught well. The lectures are impossibly fast paced (lots of pausing) and the assignments are often ambiguous.
por Vipin G•
Great Assignments, Great learning, but requires good "prior" knowledge of Python and Pandas. This is more of a refresher course in Pandas.
por Marat K•
Much more time needs to be invested into theory of the data frames. The course is too lightweight for the heavyweight topic it's covering.
por SHUVA M•
Course materials should be scrutinized. It's like the mentor is going through a scripted page. I understood very little from this course.
por Tobias T•
Good course for the basics, but the assignments are very difficult as lectures do not cover everything which is asked in the assignments.
por Greg S•
Great Content. Course Auto-Grader was immensely frustrating. Videos aren't very helpful except to identify where to do your self study.
por Sai S B•
The course assignments are at a very good level. But, I feel the course doesn't prepare you for that. Most of the work is self-learning.
por Kelsey S•
The examples used are so small it's hard to understand how to use these skills in real-world situations if you aren't as used to Python.
por Michal Z•
There should be more Pandas API hints in lectures, it ware really hard to find optimal ways to perform operations on DataFrames I wanted
por Francesco L•
The course lessons could have been more specific and provide more explanations on many topics that are later required in the assignments
por Jimi O•
Lectures are interesting but coursework is challenging. It requires significant external reading and understanding to stand a chance.
por BRUNO C D D F•
The demanded exercises were way harder than the content taught. Also, the main teacher isn't didatic, he speaks in a monotonous way.
por Morales J S•
is good to make students to investigate but, in the whole course i was thinking that youtube teached me more than the course itself.
por Sergey S•
It is a bit messy. There are bugs and the sytem of ex submission is not really well done. There is a problem with the certification.
The instructions are well and clear. I wish we were given more examples and the data files to play with. Overall enjoyed the course
por Cedric R•
First Assignment was pretty unclear where to find or what to do. Makes no sense to explain it the week after from my point of view.
por Taylan T•
The instructor just reads the notes in front of the camera. The lectures are boring and uninspired. I do not recommend this course