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.
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
By jun L
•Jul 9, 2018
Teaching material is poorly organized, and more of information covered in the assignment are not covered in the teaching material. It truly "self study" course. Just skip the video and dive into google. Even assignment question need lot clarification as well. Auto grading is a nightmare.
By Pritika R
•Jul 23, 2020
waste . your videos were useless cause you havent thought much . all the assignmnets were out of portions then what is the point of me seeing your videos if your assignments are all out of portions . worst course ever the only good thing is that the assignments were challenging
By Pushkar K
•Apr 22, 2022
Very poorly done course, with no real structure and lack of real world applications. Just a bunch of material picked up from the book with a dry format resulting in very slow learning outcomes. I believe the course from UPenn is superior to this one. Do not recommend!
By Farid M
•Oct 2, 2019
The instructor sucks. He writes codes in the video and does nor explain the logic behind it. i can find the code everywhere, what I need it to learn why we do it? Most of the time you find find yourself staring at the instructor's face, not codes and explanations
By Paul
•Dec 8, 2016
Terrible course. Assignments are extremely buggy and often touches on things not even explained in the lectures. Mentors are not active. Explanations are sketchy and not well paced. Do this course only for the examples in the Jupyter notebook.
By Humberto J
•Sep 14, 2020
This course was very dissapointing, the instructor only explains what is going on in the code and does not provide any explanation on how to structure lines of code. Professor Charles Severance is more engaging in teaching coding languages.
By Alexander B
•Oct 10, 2017
Lectures are brief, shallow and too compressed
Grader is buggy
Generally course is bad. I spent more time in Stackoverflow than here to find answers
I can read books and surf pandas docs by my own, what is the sence.
Just a waste of time
By Ryan C
•Nov 28, 2022
The first two weeks were pretty good. However, assignment #3 had poorly worded/vague questions - Sadly, attempting to finish week 3 became an exercise in futility. Going forward, I will avoid U of M courses on this platform.
By Matias S R N
•Apr 10, 2020
As atividades do curso são bem confusas, devem melhorar muito ainda. Não adianta dificultar para ter que passar várias horas no fórum para entender a pergunta e ver dicas. Enquanto não consertarem os exercÃcios não recomendo.
By Nicolas J
•Feb 19, 2021
The criteria to pass assignments are often poorly explained, which results in hours of wasted time looking for clues in discussion forums. It would be beneficial for assignment grading criteria to be much more explicit.
By partha s
•Sep 7, 2020
I am really disappointed with the course structure and the explanation. The assignments were really difficult to understand and there were a lot of issues with the grader even though the method and solution was correct.
By Rohit D
•Apr 16, 2020
Worst Course ever.The assignments are way tougher than taught in the lecture.
Complete and utter waste of money.
Please improve the contents of the course and provide detailed list of various functions.
By 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
By John K
•May 4, 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.
By Miguel A
•Oct 11, 2023
I have learnt more about Python and Pandas using books that with this course; and I say this being an R user for more than 10 years, so I am not new to data science... Didn´t bother finishing it.
By Ghizlane 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 :(.
By 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
By Filip A
•Feb 25, 2021
This is the worse course that I have taken on Coursera. Speed and assignments are ridiculous and there is no way that you can complete them with the knowledge gained from lectures!!
By 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
By Eric A
•May 28, 2021
Vague. They will introduce an idea in 30 seconds and assume complete comprehension then quiz you on it with no real practice. Not much learn by doing happening here.
By Daniel S
•Oct 10, 2023
Not intermediate. Not basic. Very advanced. Very little point in showing these videos if they are not going to teach anything, just run through these examples.
By Will W
•Apr 24, 2021
This course has many errors and bugs in its materials. I don't know why the administrators refuse to fix it but it comes off as shoddy and poorly managed.
By 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.
By 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
By Marco G
•Jan 11, 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.