19 de abr. de 2019
perfect for beginner level. all the concepts with code and parameter wise have been explained excellently. overall best course in making anyone eager to learn from basics to handle advances with ease.
5 de may. de 2020
I started this course without any knowledge on Data Analysis with Python, and by the end of the course I was able to understand the basics of Data Analysis, usage of different libraries and functions.
por Girgis F•
31 de dic. de 2018
Course was great however i felt a lot of material was covered in a short period of time, this course can be 2 or 3 courses based on the content
por Guillermo M M•
20 de ago. de 2018
It is missing a last project like in the two other courses... It would have been quite fun to be able to apply what we learnt in a project.
por Alexander P•
14 de jun. de 2019
Lots of spelling and grammatical errors that made it difficult to understand some of the material. It is otherwise an interesting course.
11 de mar. de 2020
There is no slides to download or review after class which makes it hard to go over the knowledge again without watching the video again
por Siwei L•
23 de ene. de 2020
The video is too short and many concepts remain unclear or poorly explained. More contents need to be added to the questions and tests.
por Carlos G R G d l C•
26 de mar. de 2020
It's an excellent course; the best part is the labs. It's a pity that we (the students) have a lot of problems loading the labs.
por Pedro F•
22 de ago. de 2019
Little bit confusing, unstructured and not easy to follow. Material inside is good though, but the course needs to be improved.
por sangeet a•
8 de abr. de 2020
Things are too fast in this course and many things remain unexplained which makes it difficult for one to understand properly
por Dominic M L C L•
15 de sep. de 2019
Too many errors in the code and explanations. Makes it very difficult to understand which is the right procedure/conclusion.
por Adam J L J H•
24 de may. de 2020
This course focuses a lot on the theory and explanation. However, there isn't much hands-on practice for the coding itself.
por Osama W•
25 de ago. de 2020
*No response to some questions/comments on the forum
*More details/thorough clarification required for some points covered
por Rishika A•
26 de mar. de 2020
There are many errors and this was even the toughest course I have taken yet since many things were not explained clearly
6 de may. de 2020
Course is flawless but when i had a technical challenge the Coursera team were clueless on how to fix it.
por Akash T•
11 de jul. de 2020
Few of the video requires improvement in terms of its quality. Particularly the lectures corresponding to week 4 and 5
por Teofilo E d A e S•
16 de abr. de 2019
Too complex for easy understand. Should have some documentation explaining the process and comparing the new methods.
por Julia S•
11 de feb. de 2022
It is okay in the sense that you learn something but the questions should be harder and it should go more in depth.
por Vrinda M K•
25 de nov. de 2019
Topics covered are important but videos end abruptly as if narrator was saying something more and video just ended
por Marc T•
3 de feb. de 2020
why is sharing of the notebook worth 3 points? That has absolutely nothing to do with python or data analysis!
por Abhishek K•
26 de ago. de 2019
Model creation and analysis part are too short, should have more details to understand the concepts better.
por Sarah s•
2 de ene. de 2019
This course seems to have an exponential increase in a learning curve. It seemed to be all over the place.
por Sara J H•
6 de ene. de 2023
Will be easy if you have prior experience with Python/statistics. I don't and I didn't learn much at all.
por Ramakrishna B•
19 de jun. de 2019
More explanations would be great. Its very difficult to understand Data exploration / evaluation sections
por Camilo P T•
15 de jun. de 2020
Creo que le hace falta unas guías, toda la información se da por videos. Recomendado para principiantes.
por Kenneth S•
12 de ene. de 2020
As always, the final project always ruins good courses. LAZY design of the projects is unacceptable.
por Bjoern K•
14 de jun. de 2019
Week 4 is somewhat hard to follow - Here, an overview over the different concepts would really help