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.
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 A P•
Lots of spelling and grammatical errors that made it difficult to understand some of the material. It is otherwise an interesting course.
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•
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 R•
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•
Little bit confusing, unstructured and not easy to follow. Material inside is good though, but the course needs to be improved.
por sangeet a•
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•
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•
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•
*No response to some questions/comments on the forum
*More details/thorough clarification required for some points covered
por Rishika A•
There are many errors and this was even the toughest course I have taken yet since many things were not explained clearly
Course is flawless but when i had a technical challenge the Coursera team were clueless on how to fix it.
por Akash T•
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•
Too complex for easy understand. Should have some documentation explaining the process and comparing the new methods.
por Vrinda M K•
Topics covered are important but videos end abruptly as if narrator was saying something more and video just ended
por Marc T•
why is sharing of the notebook worth 3 points? That has absolutely nothing to do with python or data analysis!
por Abhishek K•
Model creation and analysis part are too short, should have more details to understand the concepts better.
por S A•
This course seems to have an exponential increase in a learning curve. It seemed to be all over the place.
por Ramakrishna B•
More explanations would be great. Its very difficult to understand Data exploration / evaluation sections
por Camilo P T•
Creo que le hace falta unas guías, toda la información se da por videos. Recomendado para principiantes.
por Kenneth S•
As always, the final project always ruins good courses. LAZY design of the projects is unacceptable.
por Bjoern K•
Week 4 is somewhat hard to follow - Here, an overview over the different concepts would really help
por Nadeesha J S•
I would like to see a final project in this course. It will encourage the learners to do more work.
por Edward S•
The week 4 lab had issues with pipelines and did not function well and the final exam locked up.
por Miguel V•
Needs more information on statistical tests. Specifically, when to use one model over another.
por Poorna M•
Videos in this section could be little more descriptive. It was not in the pace of a beginner.