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 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.
por MS
•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