Learner Reviews & Feedback for Data Analysis with Python by IBM
About the Course
Top reviews
RP
Apr 20, 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.
VS
Jan 31, 2022
This is totally one of the hardest course I've ever taken on Coursera. It's packed with knowledge I did not know before. Definitely recommended for people who want to learn data analysis with Python.
2801 - 2825 of 3,012 Reviews for Data Analysis with Python
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 26, 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 13, 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 Manu K
•Jan 7, 2025
It was okay , but the Lab environments don't run properly without some proper libraries installed.
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 13, 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 2, 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 19, 2018
This looks good for experienced but not the best of course for beginners/intermediate level.
By Connor F
•Mar 28, 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.
By Debra C
•Mar 24, 2019
Course was worthwhile for general understanding of what can be accomplished with Python.
By Miguel A I B
•May 13, 2020
Exelent training to get familiar and intruducing to Python capabilities and programing
By Xinyi W
•Jan 26, 2020
Superfacial level of Python while being not very through on the data analysis methods.
By Ana C H
•Jun 11, 2019
To short
Goes to fast in some aspects, the theory is completely missing in this course
By Sathiya P
•Aug 27, 2019
Nicely thought, but I felt concepts like Decision trees, Random forest were missing