Avis et commentaires pour d'étudiants pour Capstone: Retrieving, Processing, and Visualizing Data with Python par Université du Michigan

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 .

Python is a really powerful tool for future programming, during this course, it briefly introduce data mining system, which provide the essential flavor for us. I think it's a quite nice python course as a basic level for Python engineer.

This is a good course and instructor has done a super job of making this course more interesting . This course has given me base on how to approach python and continue journey on increasing my technical knowledge .. Thank you very much !

I was hoping for a climax in building my own set of scripts that would cover the whole specialization. That is a possibillity, but not required. I will try so anyway.

Despite of that I have learned a lot from this capstone project.

It was a very good course. However I would like we were need to code a little bit more. I know it´s up to us how much we do and how difficult we do our task, but I would be nice if we had to write a bit more on the assignments.

Useful code walkthroughs. Assignments surprisingly trivial. Main purpose appears to be inducing cooperation with other students on other projects - could be good if that is your goal. In any event, quick to complete.

There are Pros and Cons with the approach Dr. Chuck took, pros are it gives you up and running to get you going for your own personal data mining projects, but the cons are that assignments are too easy to pass.

Was looking for more examples and projects....Students should have got more hands on. Code walk through is good but there should be one more project which instructor should have started from scratch till closer

This course has the most comprehensive designed material applying all the other courses recommended in Py4E. Its really good to get an overview of data retrieval, analysis and data interpretation in one-go.

It was a little confusing as to what we were supposed to do with the websites. I know it was an "optional" project, but it looks like I can't even go back and complete it, and it seemed like a fun project.