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

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.

I wouldn't bother to do this course. You don't have to write a single line of code to complete this course. I have only done it just to complete the specialization.

Assignments are trivial and assignment grading needlessly picky without providing educational value. The grading process is not efficient and status is not apparent

I thought this was a good course. Dr. Chuck goes through an interesting example of going through email data and there is plenty of time to do your own project.

It's like a read-only course, or running the code that has been provided. Exercise is not as good as what has been offered in the other UM specialisation.

The Capstone was adequate, but I had hope for a bit more of a challenge. The specialization all together helped me get a better grip on Python Basics.

You don't really do much in the way of coding to complete. Just watch the videos (which are really good) and run the programs that are provided.