LM
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Very good course that goes straight to the main topics needed to work on data analysis using Python. This will kick start my learning process which will be followed with a lot of coding practices.
AA
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Most of what you'll learn in this package are fundamentals to other knowledge areas. So, practice both in and out of the course.
I appreciate the coordinators in making it possible. Thank you.
By Adam J L J H
•May 24, 2020
This course focuses a lot on the theory and explanation. However, there isn't much hands-on practice for the coding itself.
By Osama W
•Aug 25, 2020
*No response to some questions/comments on the forum
*More details/thorough clarification required for some points covered
By Rishika A
•Mar 26, 2020
There are many errors and this was even the toughest course I have taken yet since many things were not explained clearly
By Kuzi
•May 6, 2020
Course is flawless but when i had a technical challenge the Coursera team were clueless on how to fix it.
Otherwise good.
By Akash T
•Jul 11, 2020
Few of the video requires improvement in terms of its quality. Particularly the lectures corresponding to week 4 and 5
By Teofilo E d A e S
•Apr 16, 2019
Too complex for easy understand. Should have some documentation explaining the process and comparing the new methods.
By Julia S
•Feb 11, 2022
It is okay in the sense that you learn something but the questions should be harder and it should go more in depth.
By Vrinda M K
•Nov 25, 2019
Topics covered are important but videos end abruptly as if narrator was saying something more and video just ended
By Marc T
•Feb 3, 2020
why is sharing of the notebook worth 3 points? That has absolutely nothing to do with python or data analysis!
By Abhishek K
•Aug 26, 2019
Model creation and analysis part are too short, should have more details to understand the concepts better.
By Sarah S
•Jan 2, 2019
This course seems to have an exponential increase in a learning curve. It seemed to be all over the place.
By Sara J H
•Jan 6, 2023
Will be easy if you have prior experience with Python/statistics. I don't and I didn't learn much at all.
By Ramakrishna B
•Jun 19, 2019
More explanations would be great. Its very difficult to understand Data exploration / evaluation sections
By Camilo P T
•Jun 15, 2020
Creo que le hace falta unas guías, toda la información se da por videos. Recomendado para principiantes.
By Kenneth S
•Jan 12, 2020
As always, the final project always ruins good courses. LAZY design of the projects is unacceptable.
By Bjoern K
•Jun 14, 2019
Week 4 is somewhat hard to follow - Here, an overview over the different concepts would really help
By Nadeesha J S
•Apr 11, 2019
I would like to see a final project in this course. It will encourage the learners to do more work.
By Edward S
•Aug 2, 2020
The week 4 lab had issues with pipelines and did not function well and the final exam locked up.
By Miguel V
•Nov 12, 2020
Needs more information on statistical tests. Specifically, when to use one model over another.
By Poorna M
•Jun 24, 2020
Videos in this section could be little more descriptive. It was not in the pace of a beginner.
By Nathan P
•Jan 1, 2020
It was cool to see the stuff at work but I need more hands on practice to really learn stuff.
By Varun V
•Dec 18, 2018
This looks good for experienced but not the best of course for beginners/intermediate level.
By Connor F
•Mar 27, 2020
when it got to model development it got too complicated too fast. The first half was great.
By Badri T
•May 28, 2019
Lots of good concepts. However, too complicated and could have been explained a bit more.
By Jesse Z
•Jun 5, 2019
For such a important topic, it seems like the videos sped through some essential topics.