學生對 密歇根大学 提供的 Introduction to Data Science in Python 的評價和反饋

While this was one of the better courses I've done on Coursera, the start date of the course was changed without any indication of when it would begin. We've also been waiting months for the next course in the specialisation to begin, again without any communication. This was a good course, but I would recommend people wait until all the rest of the courses are available before starting this course and beginning the specialisation.

Assignment 3 was absolutely ridiculous in the sense that the implementation of pandas functions depended on data cleaning in the first step for which there was no help . No response from peers or moderators on my queries. Had high hopes when I joined the course. I feel cheated now. Because of some issues with the data cleaning step, all my following answers were incorrect and I couldn't pass the course in time.

This course is really complicated for a person who is trying to get into the field of Data Science. Don't take this course if you haven't got fluent skills on English as well, because some parts of the explanations are really hard to understand. Take a similar course for a beginner level and then come into this course if you are willing to take this course. Giving out one star because of these reasons.

If you are just beginner in python and want to know better about Data Science dont enroll for this course.

The lectures are as if the professor is just reading some notes.The annoying background of people moving is a complete disturbance.The assignments and course do not have anything in common.

As a whole it would waste your time if you want to learn from the course it is more like self preparation.

Это уже 7й или 8й курс из тех, что я прошла на coursera, и он самый бесполезный. Лекции бесполезны - лектор объясняет непонятно. Для того, чтобы сделать практические работы, нужно самостоятельно изучить документацию по pandas. Я стала ее читать, и поняла, что лектор не только не добавил от себя никаких объясений, он даже умудрился сделать материал еще менее доступным, чем он изложен в документации.

There is a huge difficulty gap between the lecture videos and the assignments. The videos are very brief and they do not give you all the tools required to do the assignments which are a lot more complicated for users who have no experience with Panda. Learners are required to search the internet and stackoverflow which defeats the purpose of an online course education as I can do it by myself.

Did not liked it at all, week one quiz is based on some demonstration which should not be a demonstration but actual study of a subject. If quiz is tends to ask practical things they should be practical during first week of the course, I did not came here to watch a video and paste the result in a quiz to pass further, I came for the practical experience provided by the experts in a field.

please provide the complete 5 unit details . I could see only this unit is open for past many months. I paid for all 5 unit money already and not in a position revert back and get the money. Could you please help me out to understand when this courses will be available if not in near future , why are they taken money before the course is not ready to us. Quite disappointing experience.

Terrible course. Material they teach has nothing to do with what you're evaluated on, so I ended up using google more for the assignments than the actual course material. Expect you to basically already know everything they're teaching, so it's essentially useless. They fly through concepts and barely explain anything, so you end up learning nothing.

I expected that this course is useful for my studies but it was not for sure. I felt this course is a revision note for people who have already studied before or had experiences a lot. The teaching were too poor and general. Free study material in the internet is still better than this course. At the end, I thought why would I pay for this course.

I really tried to get into this course. I wanted a more advanced and fast paced course so a lot of the reviews about it being difficult didn't turn me off. However, the course just is not good. The assignments are not conducive to experimenting and learning and I got almost nothing from the lectures which were basically dry lists of facts.

The course provided minimal instruction and relied on self teaching. The easiest solutions to the assignments weren't covered during the weeks lectures, and had to be found through self teaching.

This would be a great free course. Paying for it was a waste of money as I could have learned everything I did from my own teaching.

The description of the course is really bad. Youtube videos are better than the course. I am just doing this course for the sake of the certificate. I had to do everything by my ownself watching youtube videos and reading other material on the web. The assignments were in NOOOOOO way aligned with the actual lectures.

Explanations in the videos are confusing and muddled, hours long assignments of reading entire chapters of a textbook are useless and code examples in the quizzes do not run in Jupyter notebooks or in PyCharm. I am trying to drop this course but clicking the three vertical dots only opens "Rate Course".

Not recommended until the whole course is updated. Its autograder is very old and invalid. It's also very sensitive. Shows the wrong answer even when the answer is right in the latest version of Jupiter. I hope it gets updated very soon as it's a very important course for data science after all.

I thought that applied means we will be coding in python not having notebook and listening about wrote code. Applied was only at assigments. And I really dont like some tasks to read article and write min.90 words disagreed or agreed. Teacher was very good but form of the course not.

I understand that the goal of this course is to push us to a higher level of understanding of Python and Pandas. I would rather put my time/energy into real world problems than blindly try to guess what the autograder for this course is looking for. A big disappointment.

Actually I wanted to select zero stars!

I never leave reviews but for this course I will make an exception. This is the worst course I have taken period. Instructor robotically reading ill-prepared material off a prompter. Save time and money and just use google.

Jupyter notebooks used for assignments work sporadically at best. I've spent about half my time during assignments troubleshooting notebook issues. It has been far more beneficial looking at the official pandas documentation and tutorials than taking this course.

Might as well just list the assignments, and skip the videos. I don't really feel the videos provide any useful introduction or helpful information about how to solve the assignments, it's basically up to me googling and reading documentation. Very disappointed.

there was a technical problem on submitting the assignment, which I can not proceed on further week's lectures without completing the submission. I sent message and report the problem but nothing has solved even after 10 days.

Wort course ever. Videos give only sneak previews and don't provide required information for the assignments. If I have to search for the all relevant information in the internet, then I don't need a video course at all.

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.

The course is not very helpful nor does it cover any of the pandas functionalities in depth. Furthermore, it also uses an older version of pandas leading to what little that was being taught to be even more redundant.

The material in the videos is very light. The course does not teach pandas but gives you a small introduction and leave you with the assignment. If I have to search for every thing what is the purpose of the course?