Dec 10, 2017
Wow, this was amazing. Learned a lot (mostly thanks to stack overflow) but the course also opened my eyes to all the possibilities available out there and I feel like i'm only scratching the surface!
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 .
por Christel V•
Jun 30, 2017
Horrible course. The instructor is reading the course from a prompter. '95% of the time, you see the instructor reading from the prompter, and two people working in the background. When they actually show the code the instructor is talking about, it goes so fast that it's impossible to read the screen. The instructor provides no motivation or background to what he says. He just rattles off the words in a uni
por George N•
Mar 17, 2017
Instructor gives minimal examples and says "go look on stack overflow". Then he proceeds to assign problems that don't really cover what the slides, lectures, or examples were on. If I all I was trying to do was just read some docs and look on stack overflow I wouldn't need to take this course now would I?
Poorly translated and cryptic instructions for assembling furniture are better than what you get here.
por Irene L•
Sep 27, 2019
The assignment is much more harder than what I learnt through these videos. I know the professor want us to learn more by searching on Google, but it really took me a lot of time to find the answer for every assignment! I attend this course only because I want to learn Python easier than self-learning, but this course make it become much harder for me and I even think of not futher my study in this area.
por Roger v S•
Feb 20, 2020
You will spend more time fighting the autograder than actually learning. You will learn more from youtube videos than this course. The only reason to do this course is for the certificate, even then, watch a youtube video or two before starting this course so that you can grasp the material. Also, before doing an assessment, watch the next weeks videos as the videos are a week lagged to the assignments.
por SARA S•
Jan 06, 2017
I am an engineer and I use matlab and stata for data analysis and currently taking Machine Learning course by Stanford which is fabulous. I did not like this course for the following reasons:
1- bad course design structure
2- so confusing and inappropriate sequence
3- super fast without providing any intuition
4- no fundamental explanation
5- course could be longer and spend enough time in each subject
Aug 13, 2017
This course is no good.
Unable to run the assignments at my comfort. Half the time there is some issue in submitting the code in jupyter and with hard pressed timelines at work this does not take me anywhere. As a data scientist with little programming background, it is difficult to enable our journey with this course.
Sorry to say. This is a big disappointment for me.
por Yen-Kai L•
Sep 29, 2019
The descriptions of assignments (especially 4) are not very clear. It wastes our time searching what's wrong (you can see the same question is raised up through the years in discussion forum), which always is just because the formatting issue that is not explicitly stated or different interpretations. The assignments should be extensively updated.
por julee R•
Oct 21, 2017
Not really an introduction course. The lectures are moving very fast, without really explaining the material. The assignments are much more complicated than the material learned during the lecture. Almost not related at all. I had to learn everything from google. Not for beginners!!! This course will take all your free time and will to live...
por Marcos P•
Nov 01, 2017
Waste of time. If you know python, you'll probably learn nothing new here. If you don't, the professor goes into WAY too high a level, and quickly, for you to actually learn anything. Moreover, he barely touches on why any of this is important, does not go over scikitlearn or numpy, both very important in data science / machine learning.
por Ching S L•
Apr 01, 2020
The courses/videos do not cover most of the topics which are needed for assignments. Have to Google or read lot materials in order to pass. Furthermore the videos are extremely boring as well. This course is not main for the learners who just started to learn Python, as this will demotivated the passion of a person to learn Python.
por Kedarnath R•
Aug 09, 2017
1. Very difficult to follow and I had to redo this course multiple times to understand the concepts.
2. Feels like the tutor is just reading off a screen and not explaining a topic from his standpoint.
3. The assignments and course topics are disjointed at times.
4. Examples provided are rather complex and needs to be simplified.
por Víctor S G•
Nov 28, 2019
Un curso poco práctico, los vídeos son demasiado largos, dando vueltas sobre los mismos conceptos básicos y los ejercicios son bastante complicados en relación al temario (se espera que se busque por internet en páginas como Stack Overflow). No se trata nada de algoritmos, es casi todo limpieza de datos y cambios de formatos.
por Elham A•
Oct 02, 2019
The pace is too fast! I can not keep up with the course content :(
I had studied "Python for everybody" specialization and "Python3 programming" specialization before. I thought I am now ready for this course but ....
I am going to study some introductory books or find other tutorials first and then come back to this course.
por jun L•
Jul 09, 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.
Oct 02, 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
Dec 09, 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.
por 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
por 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
por 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.
por 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 :(.
por 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
por 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
por 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.
por 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
por 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.