课程概述
热门审阅
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.
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!
3051 - Data Analysis with Python 的 3075 个评论（共 3,115 个）
创建者 Malcom L
•Jan 11, 2019
more hands on, project based/game based learning. Mindlessly watching videos and regurgitating code in the labs can not be the only way.
创建者 Santanu B
•Apr 16, 2019
Not a great course. Sometimes it is too fast and the explanations are very short. More hands on exercises would have been more helpful.
创建者 Rajesh W
•Oct 17, 2018
There are plenty of mistakes in the videos and in the lab session as well. Hope you guys can clear out those.
创建者 Wayne W M
•Oct 2, 2019
This was a very challenging course. Some concepts were difficult to grasp and required additional research
创建者 Mark F
•Apr 8, 2020
Frustrating when the peer reviewer doesn't actually understand Python and deducts marks for correct code.
创建者 Hunter I
•Apr 17, 2020
Leaned some, but not a whole lot of real-world application, I recommend people take Python courses more
创建者 Ashwin D
•Apr 29, 2020
Not enough hands on problems, including variety and volume. Expected more from an IBM program.
创建者 Nathaniel S
•Mar 29, 2020
Don't spend your money on IBM Data Science Cert. Course labs are full of bugs and not working.
创建者 Katherine L
•Jun 5, 2022
coursework was easy but that damn final assignment was absolute hell for no reason whatsoever
创建者 Edwin S J
•May 25, 2019
Suddenly introduced complex codes and statistical functions. Videos were way too fast.
创建者 Somak D
•Oct 30, 2018
moderators do not respond to questions raised in forum. leading to incomplete learning
创建者 S I A
•Jun 10, 2021
Worst course in the IBM Data Analyst Professional Certificate. Very badly explained.
创建者 ekta s
•Mar 1, 2023
too many advanced math concepts used but no explanation of any of them.
创建者 Sahar A
•Oct 3, 2021
it was too fast and I didn't understand a lot of things
创建者 Jen E
•Jul 31, 2019
So many problems with the lessons and the final project.
创建者 TOUIL M
•Sep 4, 2024
Something is off with the assignments of this course
创建者 Md Z S
•Mar 11, 2025
slow in process of certification still not issuing
创建者 Rasmi D
•Jun 18, 2019
very high level... topics not covered in depth
创建者 Ahmed E
•Aug 8, 2020
some commands are not fully explained.
创建者 Pradeep Y
•Dec 16, 2021
it is very easy courses
创建者 Žana Š
•Jan 26, 2025
Labs doesn't work!
创建者 Jonas T
•Apr 21, 2023
Needs Improvement.
创建者 RAHUL P
•Nov 19, 2023
good
创建者 121910319041 M P
•Apr 8, 2022
good
创建者 Thiên M
•Nov 8, 2025
Dear Support Team, I’m currently experiencing persistent issues when trying to import common Python libraries (such as seaborn, pandas, or scikit-learn) on your online lab environment at https://labs.cognitiveclass.ai/ . Each time I run the import commands, I receive a “ModuleNotFoundError,” and the notebook fails to execute properly. This issue prevents me from completing the exercises and has caused delays in meeting my learning deadlines. I have already tried restarting the kernel and re-running the notebook, but the error persists. Could you please help fix this issue or advise on an alternative solution as soon as possible? Thank you for your support.