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
KL
Mar 11, 2018
A very nice introduction to libraries/skills used by data scientists. The auto-grader was extremely annoying though. Also, I felt that some of the questions on the assignments were a bit ambiguous.
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.
1351 - Introduction to Data Science in Python 的 1375 个评论(共 5,986 个)
创建者 Doug H
•Jan 15, 2017
Excellent course. As someone that knows R and is trying to learn Python, I found it to be just what I was looking for.
创建者 Tytus W
•Jan 2, 2017
A lot of knowledge, sometimes too dense. Treats you like an adult and encourages you to look on your own. Very useful.
创建者 Igor I
•Dec 29, 2016
Very condensed and practical. Good fit for the ones who already have some experience in DS using other tools (like R).
创建者 TUMAO, B (
•Sep 25, 2020
Amazing Course. Well Presented. Managed to teach the basics of Python programming and Applications in the real world.
创建者 Rohit k k
•Jun 20, 2020
it is fantastic experience with this course.this course have content and much more knowledgeable about data science.
创建者 Lucas S
•Sep 22, 2019
Even pass the class of Python for everyone still not easy for this advanced class, but the class content is very good
创建者 Rahul C
•Aug 26, 2018
This course is really a great learning tool for Data Analysis. Dealing with auto-grader can sometimes be frustrating.
创建者 Lawal A F
•Nov 9, 2017
Great course, although not for beginners, i definitely learnt a great deal as one. I guess i'm not a beginner anymore
创建者 Ling J
•Jan 15, 2017
This would be the best course I have in this platform. Videos and readings are very brief but homework are fantastic!
创建者 Abhirup K
•Sep 20, 2020
I am pretty impressed by this course particularly I get to a lot about this subject I enjoyed this course thank you.
创建者 Deleted A
•Sep 6, 2020
It was a great experience taking this course, I learned a lot and the process of learning is perfect for self-study.
创建者 Thales A K N
•Jun 28, 2020
One of the best possible introductions to Data Science! You'll end the course knowing how to really manipulate data!
创建者 Gustavo J
•Jan 22, 2020
It is a very interesting course. Even being an introductive one, it has a high level and a lot of material to learn.
创建者 Ricardo J M S
•Sep 5, 2019
Es un excelente curso para empezar a manejar las librerias y herramientas que ofrece Python. Lo recomiendo muchisimo
创建者 Alfia S
•Aug 24, 2019
This was an amazing course. Enjoyed studying with this course and the assignments were fruitful and challenging too.
创建者 Jędrzej
•Nov 18, 2018
Great course, challenging - but not too hard.
Good introduction to Data Science. Basic knowledge of Python is needed.
创建者 Fatemeh M
•Jun 30, 2018
This was a great and somehow challenging course , I've learned a lot from the subjects.Thanks to Michigan university
创建者 Jack S
•Dec 2, 2017
Not an easy course - assignments take a significant amount of time & independent research, which is a good thing imo
创建者 Abhishek G
•Jan 14, 2022
The assignments are a bit challenging. Great course for hands-on learning for data analysis using Pandas and Numpy.
创建者 Juan C D S
•Aug 31, 2021
Excellent course to get started in data analysis with Python using pandas and other important libraries. Thank you!
创建者 张超杰
•Dec 11, 2017
I like the course very much , though for me it is a challenge, but i do like it ,i can learn a lot of skills here .
创建者 Dipanjan “ S
•Jan 26, 2017
Excellent to get started with data science with Python. Very good instructor and lots of hands on exercises. Kudos!
创建者 maleki
•Jun 10, 2023
This really help me find a deep understanding of pandas and function, however I have already used pandas function.
创建者 Yonadab J G M
•Sep 19, 2022
Es un curso excelente para quien desee adentrarse mejor al manejo de datos y limpieza de los mismos. Buen curso !
创建者 Volodymyr Z
•Nov 29, 2020
A lot of interesting, mind-changing ideas and approaches to processing data. Very suitable for beginners in Python