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

Very unresponsible professor. No passion at all!!!!! Did not explain the fundamental concept well. As a result, I do not think I have a deep understangin at all. I spend most my time google in order to finish my assignments.

I give him the second star only because I the way he designed those challenging assignments. He should include some skill needed to finish the assignments.

According to me this course will be not good for beginners , i m not telling for who is absolute beginners in programming world but it is also difficult for who just completed the python from scratch and enter into in this course.The instructor was too fast (i know that we can reduced the video speed, so don't suggest that).here i m not able to point out whole thing.

The depth and amount of knowledge delivered in class versus the level of complexity of the assignments, leaves the student with a very high degree of research, which is always good, however, it must have a balance.

I do not agree with leaving most of the learning on the research side, you should keep in mind that students may have little knowledge about the subject.

Very good lectures and examples. Horrible autograder - very stiff and all results must be in a very strict order and format. Extremenly vague questions prone to misinterpretation.

Most of the time is not spent on analysing data or coding but trying to understand the autograder and questions. The stress should be somewhere else. As a whole poorly prepared course.

1. Jupiter notebook constantly loses touch and you have to reload the page, and you have not saved the last changes ...

2. Outdated versions of Panda are used and who knows what else, so if you are not completing the task in their notebook, this can be a problem, as for me.

3. The background with people at video lectures distracts from the lecturer's words

I learned a lot taking this course but it requires a lot of work from the student. The video lectures have little contents and are somewhat superficial and the assignments are somewhat confusing. One must read a lot about the assignments in the forum otherwise it's impossible to complete them. It took me tens of hours of hard work before I learned that.

I think the assignments really help you learn a lot! But there isn't much help or aide at all from the classes. You basically have to learn everything on your own with no help, and the forum is rarely ever useful. So I would not recommend taking this class unless you are already used to using Pandas and are very advanced or intermediate with python.

Most of the topics are not really explained but just read out. Actual learning has to be done by reading and searching the web. The assignments are unclear and the whole course takes much longer than the given time. The best thing about this course is the teaching staff that gives fast and individual help when you run into problems (which is often)

The autograder works with a pandas version thats very old so you must learn how to code in pandas 0.8 while most PCs now hace Pandas 1.5. It also is too picky and shows little information about the errors, you'll need to dig up infromation from 3-4 years worth of forum entries.

THE COURSE IS INTERESTING BUT ITS BLOODY ANNOYING AND FRUSTRATING!

For an Introduction class, this is way too advanced. the course material are minimal. while this might be for a targeted audience, its fine to keep the videos at this length, but at least add some further readings/videos from other sources. Providing a bit more structured learning is way better than leaving students lost at assignments.

I found this course heavy going. There were no notes and I could not afford the recommended textbooks. I found myself having to search for information in the videos in order to complete quizzes and assignments. I passed the course, but have opted to do the IBM Professional Certificate instead of continuing with the specialisation.

The material is fine. However, the reason I rate it so low is that there are no practice problem that it walks you through. It gives you assignments and expects you to go and solve. I know how to search for random questions with Stack Overflow already. I was looking for a detailed course on how to do it; not just talk about it.

The course and content is by itself ok / good. The time needed for doing the exercise is quite long and the automatic grading is not straightforward.

So i spend a lot of time debugging my code to have functional code to the robot checker and not just to make it work (Very true for Week 3).

Not my favorite mooc i have complete.

I got stuck on the first assignment and was unable to get proper help. Very disappointing compared to Dr. Chuck's course. I was looking forward to expanding on Python and Jupyter but when I tried to start over on an assignment....simply could not get there. The autograder setup is almost un understandable.

The grader is pretty frustrating for no apparent reason, when checking a data frame have it check for equality row by row and be specific when asking questions. I suggest you make the questions return smaller size answers that can easily be checked. The course itself is OK but as a whole it is not that great.

There's a big mismatch between stuff they teach and what you're required to complete. Skills learned: dealing with annoying and obscure stuff produced by grader and reading forum. Suggestions for authors: simplify and/or write better grading code; review your own instructions by giving clear examples.

Doesn't provide resources to complete assignments.

Telling students to "go to Stack Overflow" is a serious red flag.

Independent learning is an incredibly valuable process, but this course felt more like a series of challenge assignments to do once you've learned Pandas on your own from another source.

Too hard. I had to keep reading docs, examples, other works and codes similar to this one. The exercises notebooks are too hard compared to what is barely explained. It is just a guy frozen in front of the camera talking constantly in same voice tone for several minutes, in almost all videos.

If you are a beginner in pandas, numpy, do not even think of doing this specialization. You will start hating these beautiful technologies. Only do this if you have good previous knowledge of these technologies or you determine to learn new things from online internet resources.

Teaching is good, but absolutely no relation between assignments and teaching. Either the lectures should cover more concepts, or the assignments should be made easier. Took me hours together to solve the assignments. Also, questions should me more clear and framed properly.

Lecturer seems unaware that most people are coming across this material for the first time. Goes over things too fast with not enough examples.

Assignments have a lot of questions that are ambiguous and lead to a waste of time trying to figure out what you are being asked.

A serious lack of guidance within this course. in order to be successful in the assignments, it is absolutely necessary to look by oneself from outside resources.

Better directly get a position in data analytics and learn once in the job, than actually use this course...

Did not feel that I got anything useful from here. The teachers have great knowledge, the assignments are good no doubt. But this I can do easily looking at different materials present on the internet. There is nothing good or extra that I got from buying this coures.

I had non background with 'pandas' and spent about 90-95% of my time googling the necessary commands, because they are not provided in the lectures. I don't see the point in paying for a course which only provides you with tasks and not the tools to complete it.

When you are here, after learning Python you don't expect from your instructor to tell us that he is importing a library by using an XYZ command but you surely expect from him to tell what that library does. It took so much extra effort to complete the course.