學生對 密歇根大学 提供的 Introduction to Data Science in Python 的評價和反饋
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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.
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
5126 - Introduction to Data Science in Python 的 5150 個評論（共 5,509 個）
創建者 Kondamudi S C
•The instructor taught this course very fast.
創建者 Chen L
•More programming details should be included.
創建者 Pravin A J D
•can be made a bit detailed course on Python
創建者 Maxim P
•less talking more usefull guiding is needed
創建者 Rohit R
•Lecture explanation could have been better
創建者 Jinsuk H
•Good materials but video doesn't help much
創建者 Oleg K
•Compare to Machine Learning from Stanford
創建者 Shraddha K
•More elaborate lectures would help more!
創建者 丁浩然
•The assignment is a little bit hard....
創建者 COMP-25 N S P
•more practice video need to be added
創建者 Pakin P
•why not have expect output for check
創建者 Venkata S K R C
•Totally not for absolute beginners .
創建者 李得意
•Homework is too hard for beginners.
創建者 SAHARSH G
•Should be little more descriptive.
創建者 Sara R
•Please change your teacher. Thanks
創建者 Murali
•Explanation could have been better
創建者 Gagandeep S
•Good course but not for beginners
創建者 Tracy C
•assignment is a little bit messy.
創建者 Osman D
•The assignments were too vague.
創建者 Samyak J
•The instructor is a bit fast.
創建者 Keerthana V
•overall good introductory!!!
創建者 Jahanvi A
•The instructor went too fast
創建者 PAVAN K
•But seems like its too fast
創建者 TARUN K S
•awesome course and platform
創建者 Dhanush P
•IT was more than self study
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