Отзывы учащихся о курсе Introduction to Data Science in Python от партнера Мичиганский университет
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YY
28 сент. 2021 г.
This is the practical course.There is some concepts and assignments like: pandas, data-frame, merge and time. The asg 3 and asg4 are difficult but I think that it's very useful and improve my ability.
PK
9 мая 2020 г.
The course had helped in understanding the concepts of NumPy and pandas. The assignments were so helpful to apply these concepts which provide an in-depth understanding of the Numpy as well as pandans
4276–4300 из 5,666 отзывов о курсе Introduction to Data Science in Python
автор: dufang
•4 нояб. 2019 г.
assignment is too hard, and no guide for it. It takes too much time search relavant information.
автор: Anubhav N
•4 июня 2018 г.
The course material should be more aligned with the level of questions asked in the assignments.
автор: anshu p
•29 мая 2020 г.
No doubt this is the awesome course which lets you explore your wings into this exciting field.
автор: Suresh C
•23 сент. 2019 г.
I wish there is more lecture material provided on dataframes, especially mechanics of grouping.
автор: XIA S
•30 дек. 2018 г.
The assignment is DOPE lol, but nice support from the discussion form! Really great experience!
автор: 于涛
•6 дек. 2018 г.
a little bit too hard in some assignments, need lots of time to learn by yourself from internet
автор: Mauricio A E G M
•19 нояб. 2018 г.
In my opinion, the best thing that has this course are assignments, I learned a lot doing them.
автор: Houyi D
•21 мая 2018 г.
I think the material is still small. I think it still could include more things in this course.
автор: Hugo S S
•27 мая 2017 г.
Very good course although the assagissements are a little bit too difficult (at least to me...)
автор: Ramprakash V
•9 апр. 2017 г.
A worthy course to begin Python & Data Science with. I enjoyed learning Data Science in Python.
автор: Zhijun C
•27 мар. 2017 г.
Hope that lecture videos could be longer. Anyway, it is a great course, I really learned a lot.
автор: Md. S K A
•21 сент. 2019 г.
Excellent and focused on application. But the instructions for assignments need to be refined.
автор: Vivek R
•27 июля 2019 г.
The course is good. But is very fast-paced. You do need to have a good experience with python.
автор: Akila R
•7 дек. 2017 г.
The final assignment is very tough and needs more tutorial help and more descriptive questions
автор: Jakob S M
•17 июля 2017 г.
Grate material.
Some of the videos are not correctly cut, making them a bit confusing at times
автор: Da Z
•12 мар. 2017 г.
requires too much self-learning,could be overwhelming to those who lack concrete python basics
автор: Long Z
•17 янв. 2017 г.
这门课程还算比较可以的。自学内容适中，主要教你如何用pandas模块。学完这门课程，基本可以达到熟练使用pandas模块。非常有帮助。个人觉得，作业还是有一定的难度，从一个中国人的角度看。
автор: Nuno d S
•11 дек. 2016 г.
Very nice course. The only problem that I found was the lack of exercises between assignments.
автор: Paweł R
•3 дек. 2016 г.
Good introductory course, but I must admit that the assignments are not explained well enough.
автор: VENKAT K K
•19 янв. 2021 г.
Assignments were a bit tough(had to do a bit of searching on net) but the lectures were good.
автор: Ali A
•12 мар. 2020 г.
it was really a good course, But there should be detailed explanations as it is for beginners
автор: Daan L
•3 мар. 2020 г.
The autograder was very frustrating, threw a lot of errors. Course content was great though!!
автор: Rohit R W
•29 июля 2019 г.
These course is very good for data science with python in future for job purpose in industry.
автор: Gonzalo R G
•12 февр. 2018 г.
The course is quite complete but it lacks a bit of extra formation towards the last exercise.
автор: Gareth J
•19 нояб. 2017 г.
A good course. The timescale for completion is realistic and the assessments are not trivial.
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