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 .
Sep 20, 2018
Interesting course covering the main introduction topics to Data Science, however there is a too large gap between the theoretical (videos, Jupiter notebook examples, ...) lessons provided and the knowledge required to perform the assignment. The time to do individual research to perform the assignment is tremendous. This is not an easy course at all.
von Colleen K•
Sep 22, 2018
I learned a lot by doing assignments, but the course materials are not helpful. Stackflow and Python documents guide me much more than the course itself.
von Claude P•
Nov 20, 2016
More concise coding tutorials and less "search on your own on the internet" needed. It is great to get to know the online community and the course needs more coding example directly relat to exams.
von Minyi Y•
Nov 20, 2016
The content and assignments are certainly useful and relevant. However, the lectures are too short and do not help much with doing the assignment. As a beginner, I relied heavily on google and the discussion forum to get through the assignment. And I am not sure if i can actually tackle similar problems again without referring back to the pre-mentioned resources.
von Marcel K•
Apr 19, 2019
It would be nice if Coursera could update the Python environment used for the exercises and assignments to something recent. The version they're using (0.19) is fairly old. Every single assignment that I had running against 0.24 had to be altered in some way to work for 0.19.
von Aman j•
May 07, 2019
Concepts could have been taught with more explanation. I prefer learning from books. On trying this video course, it seems VERY tough & so time-consuming to learn. Elaborate explanations could have been provided.
Or at least if I could say, I already knew basic Python but learned Pandas for the first time. Advanced Pandas should be explained with more videos, more steps.
I needed to replay video parts countless times because of only higher level explanation in videos
von Pascal B•
Jul 27, 2019
Generally, very good selection of content. The explanations are insufficient for passing the assignments tho, which means that most of the course work is self-study from the web. The buggy auto-grader sometime made the submission of the assignments quite a pain as one has to find a way to change the code in a way that still produces the right answer but doesn't blow up the auto-grader.
von Sang Y•
Aug 15, 2019
The auto-grader system does not provide any useful information for understanding why my answer is wrong. Many questions are not clear enough to understand what they mean, we need to adopt trial-and-error approach to find the correct answer. Finally I aborted on the second course of this specialization.
von Lee S•
Dec 19, 2018
Starts off well, then escalates way too quickly. Assignment 4 is incredibly complex and has poor guidance notes.
von Aaron B•
Mar 20, 2019
Really appreciate this course. Got me started in Python, Pandas, and Jupyter. First week felt like magic. I am giving it a low score because the assignment questions were so ambiguous that it required constant resubmits an scouring the forums. The ratio of learning of course content to required Stack Overflow internet research was way off balance.
I learned a lot but was extremely frustrated and burned a lot of time it what I felt was all the wrong places.
Still grateful for this opportunity. I think the questions can be better explained and tightened up.
von Erico L•
Mar 02, 2019
I don't think I've learned much along the course. I had to pick a few concepts here and there, but I don't think that the way in which those are explained would stick.
Also, the course seems rushed: I'm not sure what the end game of these courses is, but I think it's an incredible wasted opportunity when it comes to MOOCs, as there could be more lengthy videos and more and better ungraded exercises (something that in this particular course do not exist) and much, much better explained assignments (I guess adding there the info from the forums by the teaching stuff would not hurt).
For being a course of intermediate level, the videos and explanations are too short; there are even places where things are left totally unexplained.
Even if it's supposed (and even encouraged) that the students seek information on their own, the lack of context in some places makes it rather difficult. this is specialy more so with the questions that are interwined in the videos, as normally in order to answer them corretly you have to go out and find the related info (something that totally disrupts watching the videos).
finally, the assignments are a wreckage; some of the questions are incredible difficult to understand, if not out right impossible. The fact that there's a lot of information added to the forums by the etaching stuff, up to the point that the more complicated questions are easily answered with that same infromation, proves this.
I do think there are examples of courses in Coursera: I recently completed "Mathematics for Machine Learning: Linear Algebra" and even thought I don't think it's not without its issues, I find it a much more challenging, entertaining and fun course, that covers in a good way its subject.
I have to commend the people from the teaching stuff that are in the forums, thought, as it's the only course in which I found people from the teaching area activelly participating, and helping the students.
von Daniel A•
Aug 20, 2018
This is not really a course. 2h of lectures in total. I have been in longer one-day university lectures. You have to attend other courses in order to be able to complete the assignments because 90% of what they ask is not in the lectures. This is a compilation of exercises, not a course.
On the other hand, the assignments and exercises are OK, that's why I gave it 2 stars.
von Bart T C•
Aug 19, 2018
This course provides very little instruction. I really like learning by trial and error, and I think that is how coding is typically learned. Learning python from stack_exchange, however, is how I was already learning it, and I was doing fine. The whole problem of learning from stack exchange is that you don't know if you are doing things in the best possible way, which can be important for big datasets. There was no discussion of the best practices for complete an assignment, after it was turned in, and, in general, may functions were required to pass the course that were never discussed in the course. The entire weeks lecture could also be watched in about 30 minutes, which seems low to me. Most courses I have taken have at least three hours a week of lecture. I have friends who have taken this same course, and had a similar assessment.
von Yizi Z•
Nov 09, 2018
There is only few minutes taught video courses each week, although the reading materials and topics are quite interesting. The learning of python coding rely heavily on your own trial and error, which you could do even without this course.
von Georgios A•
Jan 07, 2019
Too difficult, poor connection between lectures and assignments
von Marc B•
Jan 11, 2019
The assignments are good practice, but the course teaches you nearly nothing. You have to do your own research to figure out how to do them.
There are some very useful Mentors on the forums to help the assignments, and if it were not for them, this course would be unbearably frustrating and useless.
von Olena K•
Mar 28, 2019
The lectures are not good. They go too quickly. They're about 5 minutes long, but you have to stop every minute or 30 seconds and rewind to understand what the instructor is saying. He just goes way too fast, and it's very frustrating. Really ruins the experience.
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 Eklavya s•
Aug 05, 2018
This course makes you give up on data science and MOOCs.
Seriously, the content is poorly presented he keeps on speaking , telling 2-3 lines about a function and so on.
I highly recommend stay away from this pathetic specialization.
von Daniel D•
May 15, 2018
This was the WORST course I have ever taken on Coursera. The final exercise questions were not specific enough and the autograder SUCKED ASS. I couldn't even refer to a column in my dataframe after I closed the browser 3x and rebooted my machine and it still did not work. This course is a WASTE OF TIME. MOVE ON!!!
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 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 Bugra S•
Jan 02, 2018
assigments are not clear
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 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.