Learner Reviews & Feedback for Introduction to Data Science in Python by University of Michigan
About the Course
Top reviews
PK
May 9, 2020
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
CB
Feb 6, 2023
The assessments, quizzes, and course coverage are quite good. The main points are covered, although it does not cover everything. Additionally, it provides opportunities to learn and conduct research.
4501 - 4525 of 5,952 Reviews for Introduction to Data Science in Python
By Md. S K A
•Sep 21, 2019
Excellent and focused on application. But the instructions for assignments need to be refined.
By Vivek R
•Jul 27, 2019
The course is good. But is very fast-paced. You do need to have a good experience with python.
By Akila R
•Dec 7, 2017
The final assignment is very tough and needs more tutorial help and more descriptive questions
By Jakob M
•Jul 17, 2017
Grate material.
Some of the videos are not correctly cut, making them a bit confusing at times
By Da Z
•Mar 12, 2017
requires too much self-learning,could be overwhelming to those who lack concrete python basics
By Long Z
•Jan 17, 2017
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。
By Nuno d S
•Dec 11, 2016
Very nice course. The only problem that I found was the lack of exercises between assignments.
By Paweł R
•Dec 3, 2016
Good introductory course, but I must admit that the assignments are not explained well enough.
By VENKAT K K
•Jan 19, 2021
Assignments were a bit tough(had to do a bit of searching on net) but the lectures were good.
By Ali A
•Mar 12, 2020
it was really a good course, But there should be detailed explanations as it is for beginners
By Daan L
•Mar 3, 2020
The autograder was very frustrating, threw a lot of errors. Course content was great though!!
By Rohit R W
•Jul 29, 2019
These course is very good for data science with python in future for job purpose in industry.
By Gonzalo R G
•Feb 12, 2018
The course is quite complete but it lacks a bit of extra formation towards the last exercise.
By Gareth J
•Nov 19, 2017
A good course. The timescale for completion is realistic and the assessments are not trivial.
By Rupert
•Jun 5, 2017
Tough speed - learning effect created by the weekly assignments. Good start into data sience.
By Najmeh R
•Jun 4, 2017
The videos are not so comprehensive! but by doing exercises, your coding skills will improve.
By Prabhant S
•Mar 2, 2017
the content was more focused on just pandas library
couldve included matplotlib and scipy also
By SADU R S R
•Jun 27, 2020
To learn the basic level, this type of approaching is very good and it is done user-friendly
By Ashik S S
•May 2, 2020
Could be more basic for me it was hard to grasp some concepts but somehow did it . Thanks :)
By Samchuk D
•Nov 5, 2017
Extremely good, however requires a much more time and patience than specified (estimations).
By Sairaj S
•Jul 27, 2020
Good Course but lack of documentation and theory part is less difficult to solve assignment
By Kanav G
•Jul 5, 2020
Takes a lot more than the written 16 hours, but overall a good foundation for data cleaning
By Vinicius A d O
•May 7, 2020
Some problems in auto-grader make the experience be 90% awsome. Besides that would be 100%.
By Vishal V
•May 13, 2019
There is more stress on Data Science aspect. some basics of Python should also be included.
By Yogesh B
•Apr 23, 2018
The course is very extensive and challenging , the assignments are too good for a beginner.