学生对 IBM 提供的 Python for Data Science, AI & Development 的评价和反馈
课程概述
热门审阅
EH
Jun 10, 2021
It is a very valuable course that I have learned for the Python skillset. It contains some advanced methods. It helps me to build more confidence in using Python and understand the concept in general.
TM
Nov 17, 2019
it becomes easier wand clearer when one gets to complete the assignments as to how to utilize what has been learned. Practical work is a great way to learn, which was a fundamental part of the course.
7351 - Python for Data Science, AI & Development 的 7375 个评论(共 7,681 个)
创建者 Sebastian K
•Feb 26, 2020
Very, very basic course. Mainly a marketing tool for IBM Cloud. If it would've been free it would've been worth it.
创建者 Wajeeha R
•Aug 16, 2025
This course is totally on reading Notes. There should be videos by professionals who will teach everything deeply.
创建者 Jose R C
•Aug 8, 2022
Mucha teoria, poca aplicacion. Los videos no se entienden mucho en comparacion al resto del curso de Data analyst.
创建者 Takashi N
•Jul 31, 2022
I think the course materials should be reviewed. E.g., in the final exam code blocks are not formatted properly.
创建者 Julio C R
•Sep 11, 2021
In my opinion, there are way too few oportunities to practice. Additionally, the IBM resources do not work well.
创建者 Lucie
•Nov 4, 2021
This course has many bugs. A lot of things didn't work. Registration at other sites necessary and difficult.
创建者 Samriddh L
•May 5, 2020
Really average course, confusing in terms of what is expected for us to know and what is part of an exercise
创建者 Sarthak S
•Mar 21, 2020
Peer graded should be reviewed by more than one person because the person reviewing mine has made an error
创建者 Paweł W
•Apr 5, 2024
Material is very poorly explained. It lacks structure, I had problems to understand what is it all about,
创建者 Andreas K
•Oct 21, 2021
Problems with hands-on training due to outdated code snippets and issues with registration for IBM Cloud
创建者 Masab A K
•Jul 4, 2018
Don't take this up if it's your first time studying python. Videos are fast, and narrative is confusing.
创建者 Mathias M V
•Feb 15, 2025
Classes are disordered in terms of sequence, jupyter notebooks have multiple errors and unused syntaxes
创建者 Hardik P
•Apr 30, 2019
IBM Watson's interface does not match with the tutorials. Please update the videos as the interface.
创建者 Keegan S
•Apr 18, 2024
While this had some useful info, the videos were painfully bland and the labs weren't very helpful.
创建者 Arsalan A K
•Mar 15, 2021
As a beginner, it was bit advanced level course, more focused on theory instead of practical labs.
创建者 Jeffrey H
•Jan 13, 2021
DId not teach much. Coding skills were too syntax-focused and less "think like a coder" focused.
创建者 Santhiya D M
•Aug 6, 2019
Grading by peers is not very logical and productive
We don't need to wait 2 months for grading
创建者 Jiajie Y
•Mar 12, 2021
It's too rush; wanna use short videos to explain some hard concepts, and I can't understand.
创建者 Nicolas G
•Oct 9, 2019
Some information on the course is not accurate, and the end of the program had lots of bugs
创建者 Ezz E D H
•Sep 27, 2024
Jumps into information without explanation, sometimes relying only on textual explanation.
创建者 Tarun G
•May 5, 2020
Exercises are poor. The quizzes are simplistic and there is not enough hands-on exercise.
创建者 Richard J
•Aug 24, 2020
The basic training on Python is good.
The IBM software training was not at the agenda.
创建者 Brittany C
•Jun 30, 2019
Helpful in gaining exposure to pandas but there are many typos in the instructions.
创建者 Joel B
•May 14, 2023
It is good, but the title makes you think otherwise. This is an intro to python.
创建者 Valeriia S
•Oct 6, 2021
If I did not learn Python prior to taking this course it would confuse me a lot.