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.
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.
2526 - 2550 of 3,106 Reviews for Data Analysis with Python
By Juan J F
•Mar 22, 2021
An excellent introduction to the techniques to analyze data and do the validation, very clear exercises
By Venna R D
•Feb 2, 2024
A very good and detailed explanation. A little bit of assistance in coding should improve in the labs.
By Akshay S
•Jun 22, 2020
Overall coerce is good. Just the algorithm explained at last weeks need to be more simple explanation,
By Rajeev P
•Mar 21, 2020
It was a good course. Learnt a lot of statistics and how to implement them in python from this course.
By Hung C T
•May 1, 2019
Would be better if some underlying theory of advanced topics is covered, such as Ridge Regression etc.
By Nicholas F
•Nov 24, 2020
It would be good if there were more practice opportunities. Overall a good class for familiarization.
By SHALIN S
•Sep 16, 2020
week5-6 labs were tough for writing own code and for understanding. However for awareness, it was OK.
By Viwan J
•May 24, 2019
It is a good course but -1 star because many typos/errors/unclear tasks in the assignment submission.
By Aisha P
•Jul 26, 2022
I am fully satisfied with this course.this course helhed me to enhance my skill just awesome course.
By Vicente C L F
•Nov 18, 2019
Very good course! I just missed more deep content as optional reading in Ridge, Grids and Pipelines.
By Stéphan D
•Mar 6, 2022
Some technical problems with IBM watson while doing the course. Questions could be more difficult.
By Ivan L
•Dec 9, 2021
Final Assignment is Ok, theory esp. some of the quizes subject for improvement (to make it perfect)
By Juan D M G
•Jun 17, 2020
Muy buen curso y muy buenos laboratorios! SIn embargo a veces no explican la teoría tan al detalle.
By Shrinidhi S
•May 9, 2020
My assignments with the correct answers were only given partial marks.Pls do the need for the same.
By Daniel O V
•May 6, 2020
I think it should have a higher level of difficulty, not so much more difficult but a little more.
By Fab T
•Jan 30, 2019
Great! Still thinking in go back to review the details that maybe I missed.. But excellent course.
By Abdullah T A
•Jan 18, 2022
The stuff in week 5 confused me a lot. but other than that it was great. especially lab sessions
By Reinhard H J
•Oct 18, 2019
I learned some new things, but I think more attention should be given to the theoretical aspects.
By Nur C N
•Jul 11, 2019
Too much information in one course, it's good but need to be put more example to make it clearer.
By Adrian A
•Sep 5, 2022
Good background knowledge.
Assignment did not have a model answer script provided for peer review
By Umesh S
•Jul 21, 2020
may be a course or module on statistics may be more helpful to get better insight of this course
By Fahad R
•Jun 28, 2020
Very comprehensive course but it would be great to add some more material from basic statistics.
By Sajal J
•Oct 18, 2019
Good for learning basics of data analysis using simplest explanation methods .HIGHLY RECOMMENDED
By Adam A
•Feb 1, 2022
Peer Review Assignmnet is flawed - not all students assess properly and give incorrect marks.
By L.H M
•Jul 20, 2021
This course has given me a good start up to analysing with python. Thank you IBM and Cousera.