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 .
By Nehal c•
As a beginner I found it a bit of a brisk over the topic. There was a lack of basic questions. But in the end I was coping up and then the course ended.
By KUSHAL B•
too fast in explaining it was bit difficult to keep up with the explanation,small code example were taught but assignments questions was too difficult
By Aram M•
Great course material, but the autograder system was frustrating to work with for assignments, and often made me less motivated to work on the course.
By Himansu A•
The course is okay for beginners as it is having only few lecturers for basics. Coursera experience was good. Overall i am satisfied with the course.
By Yaseen H•
The assignments are not even close what is being taught. We are taking this course so we get everything in one place. Curriculum has to be improved
By Souvik B•
Not at all for beginnners. Fast-paced with more focus on self-learning and grinding,rather than focussing more upon the concepts. Dry presentation.
By Konstantin K•
Quite bad knowledge delivery from lectures. The course is rather self learning than course. A lot of vague points and uncertainties in assignments.
By VARUN K•
The course instructor could have been more elaborate with the examples. I felt there was a wide gap between the exercises and the course material.
By Justin L•
Assignments are challenging, but some questions are very vague and require lots of trial and error guesswork to get the autograder to accept them.
By 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.
By 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.
By 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
By Paul A•
Material delivered a bit too rapidly to effectively assimilate. Often, further external research is needed to find solutions to assignments.
By Anant A•
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.
By Ahmad A•
The assignment descriptions needs to be precise (with psuedo code).And the statistics part needed a lot visualization to aid understanding.
By Jordan K•
The material is valuable and taught well. The lectures are impossibly fast paced (lots of pausing) and the assignments are often ambiguous.
By Vipin G•
Great Assignments, Great learning, but requires good "prior" knowledge of Python and Pandas. This is more of a refresher course in Pandas.
By 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.
By 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.
By 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.
By Greg S•
Great Content. Course Auto-Grader was immensely frustrating. Videos aren't very helpful except to identify where to do your self study.
By 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.
By 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.
By Michał Ż•
There should be more Pandas API hints in lectures, it ware really hard to find optimal ways to perform operations on DataFrames I wanted