May 10, 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
Mar 16, 2018
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 .
von Yuanning Z•
Dec 10, 2017
this course is horrible. The lecturer go through things so fast without emphasis, let alone highlighting the rationale behind of each things. Totally confused, worst class I have ever took in Coursera
von John K•
May 04, 2018
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.
von Zayna A•
Sep 20, 2017
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 :(.
von Tarek A•
May 17, 2017
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
von Brendan M•
Jul 10, 2018
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
von Salih F C•
Sep 25, 2017
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.
von Ramadan K M M•
Dec 26, 2016
instructor is too fast, video lectures are not enough and assignment questions are not clear which wastes much time just to understand the question
von Marco G•
Jan 12, 2018
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.
von Jacob T•
Feb 13, 2019
You're honestly better off getting a free tutorial online somewhere. I would only pay for this course if you absolutely need the certificate.
von Davor C•
Apr 20, 2020
Course was full of bugs, learning material was much easier and simpler to understand than the tasks and assigments that were given later on.
von Matthew J P•
Jan 15, 2020
The pandas software is out of date which caused me much stress and frustration in submitting assignments. PLEASE UPDATE YOUR SOFTWARE.
von Yoann G•
Nov 08, 2017
Among more than 20 MOOC followed, I guess this is the worst one. I won't repeat here the arguments of other learners.
von Jialie ( Y•
Jul 09, 2017
Bad tutorial video, scattered teaching content, not corresponding homework, lack of material to review the lecture
von Yiming L•
Oct 14, 2017
course too fast, they don't explain anything, just run through example. The worst course I have taken on coursera.
von Stephen B•
Apr 11, 2017
Unorganized and not very useful. The main goal of the course is for you to use Stack Overflow.....SAVE YOURSELF $
von Ana O R•
Mar 28, 2017
This course is a joke. Contents is very very poor. And you will have a lot of problems making the Assigments.
von Mayank J•
Apr 11, 2020
The instructor was pathetic. He is simply reading the text and not putting in any efforts to explain things.
von Lulu L•
Nov 22, 2016
The lectures are insufficient, the homework instructions are incorrect, the autograder is terrible.
von Vikash K•
Jun 22, 2018
pathetic course. Not for anyone who wants to learn python. Its for them who already know python
von Adeel J•
Oct 29, 2017
Instructor is not interested in teaching but just reading out the script
von ROMASANTA, M J (•
Oct 30, 2019
This course is not suited for beginners, who wanted to learn python.
von Sourav S•
Jun 26, 2018
Horrible. Explains nothingJohns Hopkins data science is FAR superior
Aug 27, 2017
Vedio is useless, I only need to go through the code.
von Alireza H•
Nov 10, 2019
the teaching pace is very fast and not so clear.
von Brics C•
Oct 28, 2019
Gap between lecture and assignment is too high.