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.
6376 - Python for Data Science, AI & Development 的 6400 个评论(共 7,778 个)
创建者 Hai D
•Aug 27, 2021
good course for beginner but short
创建者 Jorge L S B
•Mar 22, 2021
Great way yo starts with Python...
创建者 Vivek P
•May 28, 2020
This was really awesome experience
创建者 Raja R
•Feb 26, 2020
It is a good course for beginners.
创建者 Diogo S S d N
•Oct 26, 2019
More exercises could be worked on.
创建者 Arumugam M
•Mar 11, 2019
Excellent teaching and assignement
创建者 santosh p
•Feb 24, 2025
It is very nice short time course
创建者 Rishabh A
•Nov 4, 2024
a bit repetitive but great course
创建者 Luis
•Oct 12, 2024
Estaria bien un modulo de pytorch
创建者 AMRIT T
•Sep 22, 2024
Full of content and easy to learn
创建者 Abdulmumin A
•Aug 3, 2023
It is a really interactive course
创建者 Heba S
•Feb 21, 2023
it was very great ful and useful
创建者 RUTHUVERSHON S
•Nov 7, 2021
The course was quite interesting.
创建者 한수호
•Mar 29, 2021
I was satistied with this course.
创建者 Jacobo D L
•Oct 20, 2020
I think it was quite basic Python
创建者 Achyuth k
•Jul 2, 2020
Less opis related to Data Science
创建者 AJAY M
•May 21, 2020
Very good course for the beginner
创建者 Dor D
•Apr 7, 2020
More hands-on practice is needed.
创建者 Harsh S
•Apr 4, 2020
Good videos and nice explanation.
创建者 Ziqing W
•Mar 29, 2019
Well structured and very helpful!
创建者 Saran R B
•Dec 7, 2025
Great course for Python hands-on
创建者 Shyam V
•Jul 26, 2025
Boost up your skills as fresher.
创建者 Яценко М
•Apr 21, 2025
nice material but has many typos
创建者 Yufeng X
•Aug 12, 2022
tthe later part is so fast pace
创建者 Yuvraj S
•Sep 29, 2019
Enforcing IBM tools is not good.