课程概述
热门审阅
LM
Mar 9, 2020
Very good course that goes straight to the main topics needed to work on data analysis using Python. This will kick start my learning process which will be followed with a lot of coding practices.
ND
Jul 30, 2021
Totally overwhelmed with the course contents and easyness in teaching. The course will make you familiarize the fundamentals in a way that you will never forget when you used in a real world.
2976 - Data Analysis with Python 的 3000 个评论(共 3,125 个)
创建者 Ashwin G
•Apr 26, 2019
Too fast and could have included more examples.
创建者 Gerhard E
•Feb 12, 2019
Copy of videos, not a fan of tools used in labs
创建者 Aditya D J
•Mar 8, 2022
Nice, but I can't try IBM Cloud Trial for free
创建者 Nicholas P
•Sep 8, 2022
Final Project grading system was messed up.
创建者 Yasmin A
•Feb 3, 2020
Un cours riche et adéquat pour les débutants
创建者 Ambe E
•Nov 26, 2019
Very nice course. It gives you what you need
创建者 Brian S
•Mar 29, 2020
Notebooks are sloppy, with typos and errors
创建者 AVNISH R
•Apr 6, 2022
I am not able to download my certificate.
创建者 Fariha M
•Sep 28, 2020
The course didn't seem challenging to me.
创建者 Sachin L
•Sep 26, 2019
More examples and detailed explanation
创建者 Nilanjana
•Jul 12, 2019
More examples and code examples needed
创建者 Hamed A
•Apr 8, 2019
The course needs a final assignment!
创建者 Rosaura R d H
•Jan 21, 2025
el contenido no se traduce muy bien
创建者 Reza B
•Oct 19, 2024
Not enough depth and using only csv
创建者 Boris S
•Oct 5, 2024
The final exam has broken questions
创建者 piyush d
•Dec 6, 2019
exercises could have been better.
创建者 Jyoti M
•Mar 26, 2020
I felt it was too fast to grasp.
创建者 Baptiste M
•Nov 2, 2019
Final assignment is quite messy
创建者 Murat A
•Apr 21, 2021
could not access the labs.
创建者 Yuanyuan J
•Jan 17, 2019
Not clear on the last part
创建者 Ahmad H
•Jun 8, 2019
This course is very tough
创建者 conan s
•Dec 20, 2019
Lots of technical issues
创建者 David V R
•Jun 17, 2019
Exams should be harder
创建者 Riddhima S
•Jul 7, 2019
la lala la la laa aaa
创建者 Daniel S
•Feb 8, 2019
Not easy to follow.