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! Learned a lot! I thought the capstone would be more challenging versus thought provoking, but I still enjoyed the course and learned a great deal about python!

E​xceptional course for learning python and its applications. The Honour student path is a unique and bold option for students who want a discovery driven path of learning.

I love the courses. I will do it again if it means relearning everything.

Edit: 12/23, I finished all the honors quizzes but the certification is not showing "Honors" on it.

This is absolutely an amazing specialization. 20 days ago, I didn't have any knowledge about python. But now I can say that I know some python. Thanks to Professor Charles.

Good Course. However, I think, the course should give mandatory assignments, so that one would have to work on an entire end to end solution to qualify for the certificate.

This course not only taught me the Python programming language, it also gave me the data analysis flavor, which is why I wanted to learned Python. This is a great bonus.

It was a very interesting course of programming in Python. I learned many useful skills, learned a lot about computers, applications, Internet and databases. Very useful.

Excellent course by an exceptional instructor who has taken great care to create such quality content. Thank you Dr. Severance, for your excellence and your generosity!

This course provides an opportunity to examine more complex applications and apply the knowledge gained in the previous courses in the specialization. Thanks! - Steve

Great class. Wish I could have practiced more python during the class, but I'm glad that I am able to take what I learned from all the classes and practice on my own.

This course was really a fun to solve some real-time problem, to play with some real time data and put my first step towards data-analysis. I really enjoyed it a lot!

Great Course and Specialization. I am happy to learn new skills and to visualize.It really help for my upcoming future and Thank you Coursera to help me in learning

I would strongly recommend for those interested in learning python. I will give 100% + rating to Dr Chuck. he is the one of the best teacher i have ever found.

It really lovely journey through this Python specialization. Dr. Chuck made is very easy and interesting. Concepts are explored very nicely and fun while learning.

It was awesome to do the projects of this capstone and to learn about data modeling, pagerank algorithm, web scrapping, email data parsing and data visualization.

Whatever I do next, I'm glad I was able to take this class. It allowed me to learn a lot and to open up the field of possibilities.

Thank you! Dr Chuck you rock!

This was my first specialization course in coursera. This is the best course for python. At last you won't believe that you have learned so much:) THANK YOU!

It give a lot of knowledge during covid19 period for me.

Especially thanks to coursera and constructor

Charles Russell Severance.You give me a lot of things.

Excellent Course. Thank you Dr Chuck. You have a new fan now. I will be doing more courses from you. You have made it sound so simple. Thanks Again. Ankush

A well structured and easy to follow course for beginners. The notions are well explained and the quizzes/assignments are directly related to the lessons.

The most important is not the certification. Is how much you learned. I learned very much by reproducing the works. Thank you dr.Chuck and teaching staff.

Great course, because you can explore the inmense capacity of python for data retrieving, spidering the web and visualization of the most common content.

This is a final course of Python Specialization offered by University of Michigan. This is a great course who want to do the python projects with Data.

Professor, I would like to pursue my PhD degree under your supervision. I have a large interest on NLP, AI, Data science. Thanks for your cooperation.

Couldn't believe that I would be able to complete the course! I am thankful I pressed on. Now I have more confidence to take on another Python course.