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

Although the language was lucid, the material intuitive. the staff mentors etc were wonderful and quick in response..... ..just wish it had a little more depth..!

thank you all

Interesting capstone, summing up all the knowledge from previous courses on quizzes and lectures. However, I felt a lack of hands-on exercises and more challenging assignments.

Nice course but the assignments were not challenging because the code was already provided to students. It would have been much challenging if it had required students to code.

Really enjoyed the materials, particularly the code walkthroughs. I thought the assignments were a little basic, but perhaps that's the nature of such a large online course.

I Learn how powerful Python is. This course set my basics and

I love learning here because every course comes with different concept and give you a lot of knowledge.

Thanks!

Great examples that give incentive to apply the what is covered in real cases. I would have loved to have longer videos on the codes walkthrough. Thanks for the great class

I'm very excited how the visualisation is so easy. Unfortunately, there is not much time to learn in deep. Well, I guess it is not the purpose of this certificate.

The course was good but could have been a bit more descriptive in terms of the data visualization and analysis direction. Overall, an awesome course for starters.

Course is great but I'd prefer that the tasks required writing code or editing the given code to complete the task it'll help more, but over all course was great.

Could have been a little more coding but in the end this course requires more self studying and good thing is that I got good "coding packages" for future use.

This course was very well framed and helped me in learning a lot of things too. Thank you Dr. Chuck. Please come to India soon for one of your Office Hours. :)

I guess this course should have been made more difficult, but on the other hand everyone had an opportunity to chalenge themselves with Honour Assignments.

Could have been more challenging and maybe used the Jupyter notebook I've seen in other courses from Michigan to create a more challenging capstone project.

Compared to the courses 1 to 4 this course is not challenging. I actually hoped for more, but still giving four stars as the course overall was awesome.

This is not a course that is giving any new knowledge and all that is required of you is to execute provided software. The examples however are good.

I would like to have more lectures, as in the first courses of specialization, where there were much more detailed explanations of the nuances.

This course is a bit different from previous one.The programming are a bit coming to real life stuffs.There are some discussion sessions also.

This projects in this course tested all the knowledge that i had acquired before. The projects were challenging enough and well prepared.

it was all good i really enjoyed the course few concepts were tricky but handled by instructors nicely

I appreciate their efforts

like other courses, we should let the members make some changes in the assignments for this section. Otherwise, very good course.

Although it does not contain new content, it puts all the content from the specialization together. It could be more challenging.

Did the optional honors content. Basically running Dr. Chuck's code which wasn't hard, very useful, and informative though.

Capstone is very weak comparing with all 4 previous courses.

I really enjoyed the whole specialization. Thank you, Dr. Chuck

This course should have been little better but I do understand the uncertainty to reach out to masses. Worth spending time!

This course is one of the best courses that show the Python ability to do many great functionality for the analysis