Learner Reviews & Feedback for Data Analysis with Python by IBM
About the Course
Top reviews
AM
Apr 16, 2023
Thanks for course! I met some errors, described them in your forms. I liked every models, but the final assignment was not interesting. I think it can be done better, with decisions and conclusions.
BK
May 8, 2021
I love the practicality of this course. It's not just learning theories but you actually follow along. You only need a good computer and you learn serious staff taught in the best way possible.
2901 - 2925 of 3,121 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 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 Kareem A
•Aug 12, 2025
This course is useful, however, it is somehow dry. It could be made more engaging or less robotic.
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 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 Swetha K V
•Feb 26, 2026
EDA and Model evaluation could have been explained better. i left difficult to understand
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.