学生对 密歇根大学 提供的 毕业项目：使用 Python 获取并处理数据，并用可视化方式展现数据 的评价和反馈

Great course.

great course

Too easy. :)

Nice course

GOOD COURSE

So Good.

nice one

Nice one

enought

it good

thanks

Great

nice

good

good

good

good

good

u

The complete specialization is good but there is disappointment from the this last capstone course.You will learn nothing new from this course. I thought we would be developing project from scratch but there is nothing like that. You have to just run else's code and just post the screen shot

This course is basically divided into 2 parts.

1. The specialization part which has only 1 quiz in week 1 which is summary of previous courses and that's it. You will get course certificate and the specialization certificate(if all previous courses are completed).

2. The optional Honors Certificate which you will get if you complete 3 optional peer graded assignments. You have to just run some given code and post the screen shot.

The peer graded assignments sometimes require 3 days to be graded by staff. So if you are doing the honors certificate submit the assignment 3 days before due date and be patient. You will surely get your grade.

For a finale to this wonderful series of courses, I must say that I ended up incredibly disapointed with this final course. The only mandatory stuff to do is a simple quizz, and the honors material is just awful. There's absolutely no challenge in these assignments, and you spend hours downloading data just to take some screenshots! In addition, the only assignment that had an "extra challenge", which encourage us to mess with some code, had already the answer in the zip file we needed to download! I hope they fix these problems, and enable a more interesting capstone (like teaching us how to develop an app with everything we already know, etc..)!

Starts strong but gets a little light with actual coding towards the end. You will need to be very dedicated in tracing existing code to get anything out of those sections, otherwise you are just running programs that already exist and taking a screen shot of them...not much learning for that. You will always only get as much out of a class as you put in, but this class will make it tempting to let you get by with minimal effort and perhaps confuse you to think you are actually learning. Nothing beats hands on programing and problem solving.

trying to interactively make it "creatively research on new approach" with capstone

too different from all previous courses of the "Getting start of python" course

and did not manage the audience/ user / student expectation on this final course

eventually spent too much time waiting for capstone and just finish it asap with a few minutes

the last few course "puzzle solving" style are better for non university credit course which we just want to learn some new skills

The Capstone project consists in basically running the existing Search Engine and Mailbox visualization codes, without going into detail of neither the algorithms nor the Python code involved in them. The video lectures add little value as they simply skim through the surface of the code.

The student isn't required to write any original code or solve any problems on his own.

This doesn't feel like a project as much as taking some code and making it work.

This last course was good, however I preferred the other ones. In particular, I didn't liked the fact that you have to wait a long time before your assignments get graded, and therefore you have to pay more money for the renewal of your subscription. The teacher is very good and really helps you to get in touch with the basics of data processing and visualization. To sum up, I recommend the course, but I think that some aspects need to be improved.