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

I wanted to mention that this last course in the specialization, despite being as great as the other four, has a huge number of typos. I took screenshots of some of them which I can share at nicolas.posunko@gmail.com. I'll try to list those I noticed since I can't paste the screenshots here:

— Week 7 > Visualizing new Data Sources - Introduction: This week you will discuss the analysis of your data *to the class*.

— Final test: Which of the following lines will never print out regardless *fo* the value of "x"?

— Final test: To *insure* that all Python reserved words are properly spelled.

— Week 4 > Loading and Modeling Mail Data: *This assignment you will start* the spidering of …

— Week 4 > Mailing List Data - Part I: … and it *make* take a few days to get graded.

— Week 5 > README: Analyzing an EMAIL Archive from gmane and *vizualizing* the data …

— Week 6 > Visualizing Email Data: … we must *be* remember that not all …

— Week 6 > Visualizing Email Data: This is also a good time *to remember to remind* those with slow …

The capstone project should be more involving in terms of coding in python. Mostly I do is to run the same files in the same order to parse the same information which Dr. Chuck has already extracted in the videos and doing all the steps same. It is lagging the novelty from the student part. There should a section where we got to write some part of the code to perform certain steps, may be code correction, may be changing some steps to bring out a different output. Although the teaching style of Dr. Chuck is commendable and so is the course material.

Sorry to say, but this should be the best part of the specialization, but a lot of things are really covered very fast. I didn't like the scheme where you could earn your certificate from the first week just by answering the questions from the previous parts. A lot of people have this certificate as a motivation to make something extra and move forward. Of course, there is a lot of useful materials on this course, but as I said earlier the level of their coverage is not a level of Dr. Chuck.

If you have done the exercise from the book in Chapter 16 you pretty much have done the capstone, apart from the additional optional ones. It would have been better if this would have been new exercises as this really would create some focus on all the previous materials. Still I feel it is worth doing as this is the final piece in the Python for Everybody course. Overall it has been a fun and great experience, so thank you Dr Chuck!

Course materials were ok for me, just giving a working program and executing. But grading needs to be improved. I think all automatic grading or all peer grading are better. It looked like that there are too many students compared to the grader and the grader could not grade on time. Maybe the grader should grade only seriously flawed ones reported by peers. I had to pay another 49$ due to the late grading.

While the information provided in the course is great, I think it lacks exercises from the student side. It is hard to truly understand the material (and understand what you do not understand) until you actually have to solve the problem yourself (in this case, write the code).

Also, Charles Severance is a great teacher. I hope that he will introduce more advanced courses about programming into the coursera.

I LOVED the content of this class, this is absolutely what I enjoy about Python and what I want to use it for. I wish, however, that there was more actual coding to do, instead of just running pre-written programs. The assignments were fairly fast and easy to gloss over - I think a bit more hands on and required assignments would help give a better working knowledge of the content.

This course is for everyone put into practice what it has been learned during the four previous courses in the Specialization. It is really necessary to have a background on python in order to acomplish it, even though the tasks are not really complicated. However, previous knowledge is necessary for understanding what is taught.

Thanks to all the staff for the support.

I still think that there is a lot to learn. the fact that I have limited time to complete the tasks made me hurry and not dig deeper into things I would like to.

If I could use the forum and ask questions after the course ended it would be better.

generally the course is very good for beginners. The instructor is very good and encouraged me to continue learning.

Good for beginners to get a feel of how data retrieval, processing, and visualization can be accomplished with Python. Difficult for beginners to really do data analysis on their own. Advanced courses with more coding assignments (where you have to write the code, not just execute it) would be more helpful in actually turning understanding into usable skills.

Not up to the excellent level of the previous four modules of this Specialization. While the hands-on practice of this course are very interesting, the speed and depth at which the code is explained are not satisfactory. Too much is just to be taken 'as is'. Good as an appetizer for other Specializations, definitely not adding much knowledge in itself.

I somehow feel a little bit disappointed on this course. I gave 4 star only because the instructor is awesome and I like Dr. Chuck and his previous courses. The course is more like a code review, and the assignment is not well designed - you just push the button and run the code. It is not that helpful to develop your coding skills.

Well this course doesn't teaches you a new skill instead it helps in applying your previous knowledge to different projects. Also it helps in thinking about how to think about data sources and so. Its more of performing the given code then to make one. Not the best out there but a good one to complete your specialization anyways.

I would have given 5 stars, but I finished the course a few hours before my 7-day free trial for the specialization ran out and I wound up having to pay $49 for the next month for a specialization that I am now done with, simply because I was sitting around waiting on peer review for my two gmane assignments.

I would have given 5 stars to the first 3 courses. In the last two, when the focus moved to interacting with databases, I found the lectures under-explained too many things while the assignments (particularly the last ones) were not conducive to learning but rather involved just following instructions.

It was interesting, but away from my expertise and interest. It provides valuable insights on the capabilites of python on retrieving data from the internet, organizing it in a database and visualizing in java. It provides clears insights on the potential of python and all the available libraries.

My only recommendation would be for there to be a little send-off message. Even just a two-minute video of Dr. Chuck sending us off into our pursuits on the 'net would be a nice final touch to the specialization. Similar to the "graduation" video that ended Class 3 (I think it was class 3?)

This is an excellent introductory course to computer programming. It gives you all the opportunities to learn at your own pace.

It is not too difficult to clear the capstone itself, but the course gives you the opportunity to chose your own project which makes it all the more interesting.

A very intuitive brief capstone, for understanding how to set up a data mining structure. It helps the student to determine how to implement on a practical level all the previous courses. In overall, it consists the ideal way to wrap up all the previews knowledge from the specialization.

Good course and great for its intended purpose but I wish the required assignments were more in-depth than running the instructor's code and taking screenshots. I'm moving on the the Python Data Analysis course where I hope to get into more advanced data visualization.

Very good as usual, yet too easy in my opinion. Additional tasks of type "find how to get different output or modify part of the program" would make it much better.

Anyway THANK YOU DR CHUCK! :D i know MUCH MUCH more about programming after the whole specialisation.

Coursework was quite easy. Used a lot of the techniques learned in the other courses. You'll get the most out of this course if you have a data analysis project that you want to do. For us this wasn't required. But doing my own project was the most fun part :)

A good course, though not as involved as the past 4. Perhaps the tasks should be modified to make it harder than just running pre-written code in a specific order. I don't like the peer-grading, it's a shame the auto-grader or a file verifier cannot be used

Great this is a real live example. I am glad I took this specialization as my first committed online experience. I want to change my career at this point of my life. This is a big step for me and my family. I hope this course will help me to reach my goal.

This course is made so that you create something on your own if you just want to pass the assignments then the course won't be a challenge but if the projects are interesting to you and you want to do something creative then you have the right course .