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
overall the good introductory course of python for data science but i feel it should have covered the basics in more details .specially for the ones who do not have any prior programming background .
創建者 John K•
Awful. The examples are boring, pace is slow, and instruction is little more than "go to StackExchange." Most course 'discussion' involves the clunky, bug-riddled auto-grader. Don't waste your time.
創建者 Zayna A•
Hard to follow this professor. He reads off the script and reads really fast. I have a background in Porgramming but this is the most confusing programming class I have ever attended, sorry :(.
創建者 Tarek A•
The examples are a bit too extreme head on, I have experience with python but the level at which this is provided is quite hard for anyone to jump in and it should not be advertised as such
創建者 Brendan M•
My opinion of this course has already been stated here: https://medium.com/@masseybr/university-of-michigan-introduction-to-data-science-in-python-course-review-50eb37f5ff0d
創建者 Girija S•
Too much content condensed into 4 weeks of course. The videos are very fast with ~1.5 hrs every week and do not cover what is being asked in the assignments at all.
創建者 Patrick H M•
Slamming down some notebooks is not teaching. Despite this shortcut does the lecturer still miss to show and explain the difficult cases of the different concepts.
創建者 Salih F C•
Course doesn't give you any tools to use, it only expects you to solve problems with the tools you find from internet. Buy a book, at least it is better.
創建者 Ramadan K M M•
instructor is too fast, video lectures are not enough and assignment questions are not clear which wastes much time just to understand the question
創建者 Marco G•
Videos only cover a fraction of the material needed to solve the assignments. Better off buying a book that explains the concepts in more details.
創建者 Jacob T•
You're honestly better off getting a free tutorial online somewhere. I would only pay for this course if you absolutely need the certificate.
創建者 Davor C•
Course was full of bugs, learning material was much easier and simpler to understand than the tasks and assigments that were given later on.
創建者 Rachel B•
not everyone who is proficient and knows their craft, is also good at conveying their knowledge...
in short- underwhelmed by didactic skills
創建者 Matthew J P•
The pandas software is out of date which caused me much stress and frustration in submitting assignments. PLEASE UPDATE YOUR SOFTWARE.
創建者 Giovanni I•
Videos doesn't help or prepare student very well for assignment. I had to study and found material all by myself. Unuseful
創建者 Yoann G•
Among more than 20 MOOC followed, I guess this is the worst one. I won't repeat here the arguments of other learners.
創建者 Jialie ( Y•
Bad tutorial video, scattered teaching content, not corresponding homework, lack of material to review the lecture
創建者 Yiming L•
course too fast, they don't explain anything, just run through example. The worst course I have taken on coursera.
創建者 Stephen B•
Unorganized and not very useful. The main goal of the course is for you to use Stack Overflow.....SAVE YOURSELF $
創建者 Ana O R•
This course is a joke. Contents is very very poor. And you will have a lot of problems making the Assigments.
創建者 Mayank J•
The instructor was pathetic. He is simply reading the text and not putting in any efforts to explain things.
創建者 Lulu L•
The lectures are insufficient, the homework instructions are incorrect, the autograder is terrible.
創建者 Suwandy W•
the teaching materials provided by christopher is too brief. can be improve by more elaboration.
創建者 Vikash K•
pathetic course. Not for anyone who wants to learn python. Its for them who already know python
創建者 SARTHAK S•
Very tough question asked without proper teaching. Course should be made learning oriented.
創建者 Madhubalini V•
very hard assignment and confusing that i have to withdraw from doing :(