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.
UA
Jul 29, 2020
AN excellent course. Hands-on training on the cloud makes an individual really involved. So far the best online course I have ever taken, and I have learned Python programming a lot from this course.
2901 - 2925 of 3,034 Reviews for Data Analysis with Python
By Sachin L
•Sep 26, 2019
More examples and detailed explanation
By Nilanjana
•Jul 12, 2019
More examples and code examples needed
By Hamed A
•Apr 9, 2019
The course needs a final assignment!
By Rosaura R d H
•Jan 22, 2025
el contenido no se traduce muy bien
By Reza B
•Oct 19, 2024
Not enough depth and using only csv
By Boris S
•Oct 5, 2024
The final exam has broken questions
By piyush d
•Dec 6, 2019
exercises could have been better.
By Jyoti M
•Mar 26, 2020
I felt it was too fast to grasp.
By Baptiste M
•Nov 2, 2019
Final assignment is quite messy
By Murat A
•Apr 21, 2021
could not access the labs.
By Yuanyuan J
•Jan 18, 2019
Not clear on the last part
By Ahmad H
•Jun 8, 2019
This course is very tough
By conan s
•Dec 20, 2019
Lots of technical issues
By David V R
•Jun 18, 2019
Exams should be harder
By Riddhima S
•Jul 8, 2019
la lala la la laa aaa
By Daniel S
•Feb 9, 2019
Not easy to follow.
By Diego F C I
•Sep 8, 2024
Videos en Español
By Allan G G
•May 10, 2022
Muy poco practico
By thibauly t
•Sep 27, 2021
très bon cours
By Vidya R
•Apr 16, 2019
Very Math!
By Alagu S
•Nov 13, 2024
GOOD
By SAGAR C
•Apr 22, 2023
good
By Ahmad U
•Apr 21, 2025
k
By Ulrich S
•Feb 13, 2025
The whole training is a bit messy. For example, it offers two different versions for the jupyter-notebook in the final lesson. And the code in this notebook is even buggy (Invalid datatype). The most terrible thing about it is that the Peer Review Process for the final lesson is broken! It asked me to review my own solutions. They were presented to me as if somebody else had submitted it. Furthermore, I was asked to review the solution of a totally different course! Also, in the final exam, some of the questions have ambiguous answer options. (Polynomial Regression is a form of Multilinear Regression, numpy definitely contains algorithms as well, square-root error is in fact a suitable measure for comparing the performance of two models with different order, ...) What also bugged me was the fact that the voice of the training videos was not spoken by a human. It really makes you feel worthless, when you are teached by a computer voice. I still give 2 stars, as I really did learn something on this course.
By James H
•Apr 29, 2020
Definitely not one of my favorite courses in the Data Science Certificate series. There were times I was ready to give up the pursuit of the certificate altogether during this class... There should have been a prerequisite for this course of the statistical tools and methods that would be covered in here... Sure I could program these things after this class, but i still dont understand why I would choose to use one over another? This is one of those classes where you walk away feeling more confused than when you went in... Also there were a lot of mistakes, typos, and obsolete things in the labwork - some reported and acknowledged months ago, but still not fixed in the lab (video I can understand, but not the labs)