PK
9 de may. de 2020
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
YY
28 de sep. de 2021
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 Alvaro B F
•30 de ago. de 2021
I think the lecture about grouping could be improved with more practical examples, I had to search for external sources to understand the concept.
por Souvik B
•8 de jun. de 2020
Not at all for beginnners. Fast-paced with more focus on self-learning and grinding,rather than focussing more upon the concepts. Dry presentation.
por Konstantin K
•4 de mar. de 2018
Quite bad knowledge delivery from lectures. The course is rather self learning than course. A lot of vague points and uncertainties in assignments.
por VARUN K
•4 de mar. de 2017
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.
por Justin L
•6 de dic. de 2016
Assignments are challenging, but some questions are very vague and require lots of trial and error guesswork to get the autograder to accept them.
por pouya S
•29 de jun. de 2018
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
•15 de ago. de 2019
Please update the auto-grader such that is it compatible with current version of Jupyter notebook, very frustrating dealing compatibility issues
por Hemanta B
•13 de ago. de 2019
This course is a nicely organized. However assignments are not completely clear. Especially assignment 4 needs more explanation and details.
por Joel B
•1 de ago. de 2019
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
•5 de nov. de 2018
Material delivered a bit too rapidly to effectively assimilate. Often, further external research is needed to find solutions to assignments.
por John W
•27 de mar. de 2019
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
•24 de jun. de 2018
The assignment descriptions needs to be precise (with psuedo code).And the statistics part needed a lot visualization to aid understanding.
por Jordan K
•19 de may. de 2018
The material is valuable and taught well. The lectures are impossibly fast paced (lots of pausing) and the assignments are often ambiguous.
por Adam P
•13 de mar. de 2022
Assignments were more difficult than they needed to be because many of the directions were unclear. Otherwise, the class was interesting.
por Vipin G
•16 de dic. de 2017
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
•11 de nov. de 2017
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
•3 de sep. de 2020
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
•26 de ago. de 2020
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
•4 de ene. de 2018
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
•19 de jun. de 2020
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
•17 de ago. de 2018
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
•5 de ene. de 2018
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
•5 de mar. de 2017
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
•28 de may. de 2019
Lectures are interesting but coursework is challenging. It requires significant external reading and understanding to stand a chance.
por BRUNO C D D F
•6 de jul. de 2020
The demanded exercises were way harder than the content taught. Also, the main teacher isn't didatic, he speaks in a monotonous way.