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
HK
Oct 19, 2022
This was an extremely informative course and I believe is perfect way to strt off your coding journey. The teaching style was understandable.detail oriented and very practical. Highly Recommended.
CD
Dec 11, 2019
All the basics for Data Science with Python. You wont be a master programmer after this class but you will understand the basics and computer logic in regards to data handling and cloud management.
7526 - Python for Data Science, AI & Development 的 7550 个评论(共 7,886 个)
创建者 Alyssa U
•Dec 20, 2020
A majority of the labs are overwhelming and do not coincide with class instruction. Make it through and the final assessment is easy.
创建者 Ian
•Oct 10, 2021
There's a lot of python knowledge they expect you to know without teaching it. Also a few of the labs were just broken or confusing.
创建者 Asbina B
•May 24, 2019
The course is smooth but the final assignment did not explain things properly and because of that, it is very difficult to complete!
创建者 Mark S B
•May 6, 2020
I was pretty good until I got to week 4 and had to create an IBM Watson Studio Account and I was never able to complete that step.
创建者 Rebekka H
•Oct 5, 2018
The last peer reviewed assignment was way too difficult. There was a knowledge needed that wasn't taught in the previous courses.
创建者 Lucian A F
•Dec 14, 2020
buggy and too in-depth and complicated for this level. spent a lot of time debugging errors which for a newb is frustrating.
创建者 Sushant G
•Mar 7, 2022
Not a substantial course in Data Science or AI. Essentially, it's mostly Python basics plus a little bit of data science.
创建者 Ahsan N
•May 29, 2022
Extremely IBM heavy, there is not even any IBM alternative option for the people not interested in IBM specific learning.
创建者 Talha T
•Apr 8, 2022
its an introduction to python but i didnt like the way it is handelded. There are better ways to perform this introduction
创建者 Ashwin D
•Apr 26, 2020
Needed more hands on questions and not the same ones as in the video.
Expected more from an IBM professional certificate.
创建者 Roman S
•May 5, 2020
Very confusing navigation and setup. Videos are rushed and extremely hard to follow, could've easily been twice as long.
创建者 Harsh D
•Jun 20, 2022
Poor connection between a teacher and a student, it was just read by the computer and a feeling of learning was lacking
创建者 Josep R C
•May 1, 2020
Super basic content. If you have a minimum knowledge on python and pandas I do not recommend enrolling in this course.
创建者 Ismael S
•May 25, 2019
Too many things and no real practice, students would need to practice a lot more to consolidate all the information.
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 Pham V T
•Nov 26, 2025
i will change my rating to 5* when i get my certificate. There is nowhere to contact Coursera for Learner.
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