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.
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!
2676 - Data Analysis with Python 的 2700 个评论(共 3,119 个)
创建者 Muhammad I
•Jun 3, 2025
Very interesting and skill building course
创建者 Priyanka S
•May 30, 2021
Good course for beginners in data analysis
创建者 Vishal A
•Apr 19, 2020
good course with almost all topics covered
Easy to follow. Comprehensive explanation.
创建者 ahmed f
•Jan 18, 2019
concepts were not explained very carefully
创建者 KONDAPALLI N K
•May 13, 2020
Excellent course with detail description.
创建者 manish c
•Mar 28, 2020
Best data analysis course for beginners .
创建者 Ayush J
•Jun 12, 2025
i am not able to downlode my certificate
创建者 Krishnaraj S B
•Jan 20, 2023
very tough course not for begginer level
创建者 Aman R
•Jun 18, 2022
It was such a great experience learning.
创建者 Javier I R
•Dec 26, 2021
Easy, fast. A good course for beginners.
创建者 Moussa S
•Apr 26, 2020
Excellent ! Helped me discover new tools
创建者 Harshil G
•Apr 29, 2020
It's very good start into data science.
创建者 Muhammad I
•Nov 17, 2025
Great course for Advance Data Science
创建者 Atuhaire E
•Sep 17, 2022
Very mind challenging but insightful
创建者 Δημήτρης Τ
•Mar 1, 2022
It was a beneficial lesson generally.
创建者 Oladeji S O
•May 13, 2020
Wonderful course, I really enjoyed it
创建者 Lovely K
•Jun 14, 2022
this course is very important for me
创建者 ASMITA K
•Oct 6, 2019
Average Course with simple learning.
创建者 Alpha Z
•Feb 2, 2020
Too easy. Make it more challenging!
创建者 Sachin G
•May 29, 2019
should have more thorough examples
创建者 Liliana R (
•Nov 14, 2018
There are some errors in the labs
创建者 Rauf S
•Apr 8, 2020
you can explain more efficiently
创建者 José C D S
•Jun 6, 2019
It took me longer than estimated