Kursteilnehmer-Bewertung und -Feedback für Capstone: Retrieving, Processing, and Visualizing Data with Python von University of Michigan

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.

I really enjoyed this specialization over the span of classes taught. I definitely learned a ton about python as well as a smattering of other languages - and about how to integrate them. I would recommend the specialization with the exception of the capstone. I loved the projects in terms of the output, but what I wanted was a consolidation of what I learned through the course; some projects to really tie things together.

This course is basically a walkthrough through Dr. Chucks programs. The code might be useful for further projects. The assessments were very easy, you do not need any knowledge on the topics, you only need to know how to run files basically... It would be better if they asked you to write something similar and to build a project guided step by step instead of just showing the result.

This was the weakest course in the Python for Everybody specialization. One reason was that the instructor time was minimal. The other was that the capstone project should be built in steps, with each step being a peer-graded assignments.

There should have been multiple quizzes of the same duration as the final one. This specialization requires more than 25 MCQs as it's final exam.

I really liked the previous courses on this specialization and the teacher is super good in explaining. I have learned some things during this course too but I would have appreciated it more if I needed to write some (small) parts of code myself in order to pass the courses. Now it was quite easy to pass even if you wouldn't really understand what was going on.

I believe the pace was too fast. Moreover, I wish if more time was spent on how to make sure of many available data on various websites which format were not similar to the input file used in this course. I also liked it when in course 1 and 2 picture in picture was used. I disliked it for the latter courses and did not appreciate it in this course.

Engaging lecturer who helpfully conveys the concepts. I'd prefer that the mandatory assignments actually require writing Python code though. Really you just have to download something, run something, and take a screenshot. Someone who knows zero Python could do that, and that doesn't seem right. More programming in these courses please!

The course provided some code that will definitely be useful in the future and I plan to try to learn it thoroughly so I actually understand it, however, the course can be almost entirely completed by just running provided code and taking some screen shots. I don't feel like I learned nearly as much as I did in the first 4 courses.

The specialisation is amazing, although this capstone is not great. You do get some nice example code and insight into how to solve real world problems based on the other material provided within the specialisation, yet the assignments are next to meaningless as all you do is executing someone elses code.

I felt like there was not too much explaining in this course. I got the general idea of the programs introduced in the videos, but I wouldn't be able to write the program on my own. The assignments in this course were not really challenging as you literally don't have to modify any codes to pass it.

The Capstone project is an interesting activity, but it is not a course. No new information is provided, it is a set of advanced excercises related to the previous database course. I think that this specialization can be reorganized to have four courses instead of five.

Compared to the previous four courses, this one offers the least. The material has leveled up considerably, and I feel that the students were unprepared for it. The lectures don't really explain the new complexities well. They seem superficial and difficult to follow.

I guess for the assignments, it might be easier if the course take a step-by-step approach, so the students start coding very easy programs to access the data on web from scratch, and then the code evolves into something very complex in the final course, the capstone.

Course itself haven't enough practice instead of waiting for grading from instructors as not as described. And angry and rude instructors/moderators writing a lot of comments that they havn't time, instead of do it centralized with appropriate notifications of users.

The courses leading up to this Capstone project was very interesting and engaging. It is sad that the capstone project was reduced to just executing the pre-packaged code rather than having the students think and model and possibly edit code to complete the project.

The python specialization was great but this last course was a bit disappointing as I hoped to get more guidance toward doing my own data project..

Doing the assignments as is was not challenging but using it for my own project felt too challenging.

Capstone was great, although I would have learnt stuff better if there was a small battle from the deadlines and the curriculum in particular. This was a fun specialization and am looking forward to graduate soon! Thanks Dr. Chuck :)

Cheers!

Interesting content and very useful code given for future use. Not enough thinking to do unless you do the personal project, which I find hard to do if no one around you uses python/programs. Still, very interesting and enjoyable!

Sessions were going bit fast as compared to last 4 modules which were at good pace to catch up, frankly did got much of things discussed in this module will try to go though with my pace and try to understand.

Not as much practical as the other Python courses provided in this series. The coding assignment is quite easy, since the code has been already written, the ONLY thing you have to do is RUN IT...

The course is good and if you do the optional part you will recap most of the things you learned and much more. Maybe less screenshots and more indipendent coding would give some more practice.

I liked the other Courses from the Python for Everybody Specialization, but this one was somewhat mediocre. You more or less just executed pythoncode in the right order and that was it.

This course would benefit by making students do at least some of the work for the capstone assignment. Just downloading and running code shouldn't be enough to complete it.

More content should be added. For example a full walk through of a real life project. Covering the all components that come into planing and executing a real project.