学生对 University of Michigan 提供的 Introduction to Data Science in Python 的评价和反馈
课程概述
热门审阅
NF
Jun 17, 2018
I thought this was course was good, and was fairly challenging for an online-only course. I thought the lectures could have been a little longer to ensure proper coverage of materials and functions.
ME
Jul 26, 2020
Quizzes were very challenging and interesting. I learned alot. The main drawback in this course is that the materials are insufficient to answer the assignments.And some questions were not so clear.
2601 - Introduction to Data Science in Python 的 2625 个评论(共 5,987 个)
创建者 Dr. B S
•Sep 9, 2020
It was a great learning , Thank you
创建者 Tanuja J
•May 13, 2020
A good course to begin data science
创建者 DIVYANSHU D
•May 5, 2020
Assignments took more than expected
创建者 SSS
•Feb 6, 2020
Great course for being data science
创建者 Dileep M
•Nov 11, 2019
I learn new topics from this course
创建者 Winston F
•Oct 27, 2019
great course to improve your basics
创建者 Ivan L
•Aug 24, 2019
It was a great learning experience!
创建者 Shwetank A
•Jul 22, 2019
Very nice course and great learning
创建者 Likun C
•Jun 20, 2019
challenging but I have learnt a lot
创建者 Joaquín I V P
•Jun 12, 2019
Muy buen curso, sumamente práctico.
创建者 Jeffrey P C
•Feb 5, 2018
Great course, but really challenge.
创建者 Sachin K
•Aug 25, 2017
Assignments are excellent practice.
创建者 Dmitry S
•Aug 8, 2017
good balance of theory and practice
创建者 Oskar
•May 29, 2017
Good introduction to Pandas library
创建者 Sayon D
•Mar 25, 2017
It was a great learning experience.
创建者 Weiyi Y
•Jan 14, 2017
Great course. Challenging homework.
创建者 Manas G
•Sep 4, 2021
One of the best courses I ever had
创建者 Aldevico W
•Jun 27, 2021
An Exciting start for Data science
创建者 John R
•Nov 29, 2020
Really challenging and interesting
创建者 JUAN C O C
•Nov 2, 2020
Everything was methodology perfect
创建者 Luz A
•Oct 11, 2020
Buen curso para iniciar con Python
创建者 Vishal P
•Jul 12, 2020
very good course and easy to learn
创建者 PAKSHAM S
•Jul 6, 2020
great course with great assigments
创建者 Goutham
•Jun 6, 2020
Week 4 could have been much clear.