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
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 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 Vusisizwe M•
5 de dic. de 2022
The course is great, if ambiguity and vagueness could be removed when asking questions. This would help with finishing the course on time.
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.
por Morales J S•
21 de jun. de 2020
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•
9 de may. de 2020
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.
2 de oct. de 2020
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•
31 de oct. de 2019
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•
16 de oct. de 2019
The instructor just reads the notes in front of the camera. The lectures are boring and uninspired. I do not recommend this course
por Muhammad S H•
12 de jul. de 2022
you end up learning a lot by the end but the assignments require a lot more self-learning than what was provided in the lectures.
por Feroza A•
6 de oct. de 2019
Assignments should relate to what is discussed in class, too much of what is in assignments is not clearly explained in the class
por Ankur J•
16 de oct. de 2019
Content was excellent but pace was fast and gave a feel of robotic lecture as the code in jupyter was also flowing like anything