Bewertung und Feedback des Lernenden für Datenanalyse mit Python von IBM
Über den Kurs
Top-Bewertungen
SC
5. Mai 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.
RP
19. Apr. 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.
2101 - 2125 von 2,277 Bewertungen für Datenanalyse mit Python
von sangeet a
•8. Apr. 2020
Things are too fast in this course and many things remain unexplained which makes it difficult for one to understand properly
von Dominic M L C L
•15. Sep. 2019
Too many errors in the code and explanations. Makes it very difficult to understand which is the right procedure/conclusion.
von Adam J L J H
•24. Mai 2020
This course focuses a lot on the theory and explanation. However, there isn't much hands-on practice for the coding itself.
von Osama W
•25. Aug. 2020
*No response to some questions/comments on the forum
*More details/thorough clarification required for some points covered
von Rishika A
•26. März 2020
There are many errors and this was even the toughest course I have taken yet since many things were not explained clearly
von Kuzi
•6. Mai 2020
Course is flawless but when i had a technical challenge the Coursera team were clueless on how to fix it.
Otherwise good.
von akash t
•11. Juli 2020
Few of the video requires improvement in terms of its quality. Particularly the lectures corresponding to week 4 and 5
von Teofilo E d A e S
•16. Apr. 2019
Too complex for easy understand. Should have some documentation explaining the process and comparing the new methods.
von Julia S
•11. Feb. 2022
It is okay in the sense that you learn something but the questions should be harder and it should go more in depth.
von Vrinda M K
•25. Nov. 2019
Topics covered are important but videos end abruptly as if narrator was saying something more and video just ended
von Marc T
•3. Feb. 2020
why is sharing of the notebook worth 3 points? That has absolutely nothing to do with python or data analysis!
von Abhishek K
•26. Aug. 2019
Model creation and analysis part are too short, should have more details to understand the concepts better.
von Sarah s
•2. Jan. 2019
This course seems to have an exponential increase in a learning curve. It seemed to be all over the place.
von Ramakrishna B
•19. Juni 2019
More explanations would be great. Its very difficult to understand Data exploration / evaluation sections
von Camilo P T
•15. Juni 2020
Creo que le hace falta unas guías, toda la información se da por videos. Recomendado para principiantes.
von Kenneth S
•12. Jan. 2020
As always, the final project always ruins good courses. LAZY design of the projects is unacceptable.
von Bjoern K
•14. Juni 2019
Week 4 is somewhat hard to follow - Here, an overview over the different concepts would really help
von Nadeesha J S
•11. Apr. 2019
I would like to see a final project in this course. It will encourage the learners to do more work.
von Edward S
•2. Aug. 2020
The week 4 lab had issues with pipelines and did not function well and the final exam locked up.
von Miguel V
•12. Nov. 2020
Needs more information on statistical tests. Specifically, when to use one model over another.
von Poorna M
•24. Juni 2020
Videos in this section could be little more descriptive. It was not in the pace of a beginner.
von Nathan P
•1. Jan. 2020
It was cool to see the stuff at work but I need more hands on practice to really learn stuff.
von Varun V
•18. Dez. 2018
This looks good for experienced but not the best of course for beginners/intermediate level.
von Connor F
•27. März 2020
when it got to model development it got too complicated too fast. The first half was great.
von Badri T
•28. Mai 2019
Lots of good concepts. However, too complicated and could have been explained a bit more.
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