Learner Reviews & Feedback for Data Analysis with Python by IBM
About the Course
Top reviews
MW
Nov 11, 2021
Good Course. Very good overview of Python libs -Pandas, Numpy, Matplotlib, Scipy, Scikitlearn and Seaborn. I really enjoyed learning about them and seeing the usage. Highly recommended course.
BM
Jul 16, 2020
Although good to learn the know-how of basic data analysis techniques, the quizzes are predictable and you don't end up coding as much as you should. A good starter course to wet your feet in DA!
2876 - 2900 of 3,081 Reviews for Data Analysis with Python
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 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
By Ros R
•Aug 12, 2019
The course is too long. The material should be divided and explained more detailed.
By Amanda A
•Apr 16, 2020
There were many typos in the labs which made it difficult to understand at points.
By Juan S A G
•Aug 20, 2020
very simple exercises which does not help to learn altough videos were exeptional
By Naresh T
•Aug 11, 2023
It's really good course i really enjoyed learning new things in data analaytics.
By Naf
•Nov 1, 2022
It was a good course but maybe a little too easy with all the prompts provided.
By Mohsen R
•Jun 16, 2020
The course does not explain the processes enough, there should be more examples.
By Maciej L
•May 16, 2019
Too many complicated things happening at once. It is hard to digest and follow.
By Tomasz S
•Nov 19, 2018
Few small hiccups with the training videos and quite a few in the lab-excercise
By Craig S M
•Mar 21, 2022
It ok. Some parts of the course were bare bone. I liked the hands on sections.
By Steven B
•Jun 3, 2020
Overall I felt it was not broken down very well and seemed confusing at time.
By Pierre-Antoine M
•Feb 19, 2020
Videos are nice but they are mistakes in the notebooks that disturbs learning