作业描述不清楚，有歧义！！！

less hands on

Nice one :)

Good course

very brief

very good

very fast

Too fast

wknfkd

thanks

good

good

good

Nice

good

nice

good

太难了8

HARD

good

ok

ok

A

Truly horrible delivery of the material - even worse than Coursera's old Intro to Machine Learning course from Univ of Washington. This course will discourage nearly anyone from pursuing Data Science.

And it's not even an intro to data science. It's a course on Pandas for dataset manipulation. (In fairness, cleaning up ingest data is like 95% of the work in data science, but the course doesn't even tease the student with some exciting machine learning examples of where this is all headed.)

It's not delivered like you'd expect an intro course. It does an awful job of progressing the student through the Pandas toolset, building concepts incrementally. The whole topic of object types, methods, returned objects, and chaining gets barely a mention, but it's essential to the assignments. Examples are rapid-fire and sparse - very few techniques needed in the assignments can be found in the examples. The Week 2 quiz tests on techniques not introduced until Week 3, and the Week 3 and 4 assignments cite "individual study" which is academic-speak for "We didn't teach you about this - go Google it".

Then, there are errata that the student needs to pick out of the discussion forums to pass the assignments because some key questions are vague. The errata are 1-2 years old and they can't be bothered to correct errors.

The auto-grader could be the highlight of the course, but it provides limited feedback on wrong answers and no guidance toward the right answer; just "wrong". You're not allowed to post code or discuss answers in the forum - you have to go to StackOverflow to do that. (It'd be awesome if several of the exercises provided the student with the answer and challenged them to match it, but instead it's very sink-or-swim.)

Even when your answer is right, the auto-grader throws errors and warnings for, say, returning a numpy.float64 (which you should) when the grader is expecting a Python float type. Or it's expecting a float64 for a counter value (!!) when you provide an int64 (which is correct). These behaviors should have been fixed long ago.

It claimed to be a 15-hour course; I did it intensively and invested more than 30 hours before pulling the plug on the final project. That was claimed to be a 4-hour project, but experience with the rest of the course says it'd be more like another 12 hours - and that's for a guy who's not new to coding.

Bottom-line: I paid for educational material and I don't feel like this course delivers. What it does deliver is Pandas exercises and an "OK" auto-grader; truthfully, most of what I learned was via Google searches while trying to do the assignments - effective, but very slow and very frustrating. The real disappointment is seeing that the issues I encountered have been well-known for 2 years in the discussion forums; the course could be a lot better by now if they cared to nurture it.

Finally, a frustrating aside that's on Coursera, not the instructors... Coursera's online Jupyter notebook platform is really unstable and constantly drops connections even when you're actively editing and executing cells. (Including from 2 Fortune 100 companies - it's not the connection.) Once dropped, the notebook can't be re-connected, and has to be re-launched from the syllabus at the risk of losing your most recent edits. (But beware, if you run Jupyter offline for stability, this course also has defective input filenames that will cause grading to fail - read the discussion forums first.)

During this course, I learned a lot about Python and Pandas. You will also learn a lot about these tools. Trust me, a lot. Still, I will only give two stars. This is why:

My background: I am doing Python courses so that I can expand my knowledge on technical tools. I have spent my last 8 years on data analytics/statistical analysis on other platforms, mainly Stata. Most of the techniques presented to me in this course are, therefore, familiar to me in other languages.

To start with, the course should suggest/direct you to a better tool for you to solve the assginments than Jupyter notebooks. Using Anaconda/Spyder is of relevant.

Pedagogically speaking, lectures are terribly designed. They mostly rely on Jupyter notebooks, which are sloppy and will jump in unsynchronized manner with the presenter. Some of them are too long, skipping the main point or logic of the tool being presented.

Assignments are really good. You will learn a lot from them and you will need to go for the documentation and StackOverflow to get answers. This is actually very important, as real life data management work do need this ability: your productivity will increase by how proficient you are looking for different solutions. But still, the assignements' autograder has too many mistakes and fails giving you reliable/effective feedback. Plus, some questions present factual mistakes regarding the answers expected (in Assignment 4, it is suggested for you are looking looking for teams in the autograder when it should read Metropolitan areas). To not be stuck on these issues, please go immediately to the Discussion Forum of each assignment.

To the Director of this course: PLEASE increase the number of visible hints in each assignment as it helps you solving questions and will decrease the autograder issues (e.g. the first five elements of a list of 15 that you are expecting for each question)

The suggested time to solve each assignment is utterly wrong for Assignments 3 and 4: it took me 2 weeks for each, not three hours (I did this course after working hours, though).

Finally, a final note: the course was revised in December 2022. As I initiated the course previous to this date, I started the old version of the course. To my surprise, after several deadline reset (which are particularly welcomed in this course), I was took to the new version of the course. This should be not a problem until I realised that all my past grades where blank (even if the platform confirmed I had passed the assignments and quizzes for weks 1 to 3). I had to redo the full course as I was already in Week 4. Some of the code was saved on my computer, other not. It took me an additional week to get everything back. This should not happen... and a better solution should have been provided other than redoing the quizzes and assignments.

Overall: excellent course for you to enter the Python, Pandas world, but be ready for a bumpy road ahead.