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.
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
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.