Bewertung und Feedback des Lernenden für Python Project for Data Science von IBM

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There are parts of the final assignment that were frustrating because they required skills that were not thoroughly covered in the course material, so I ended up having to turn to other resources and look through documentation for pandas and beautifulsoup to find what I needed. This extra challenge made it more rewarding when I finally did figure out how to complete the tasks, though, and the process felt more analogous to how a data scientist would operate. Overall, I would recommend this class since it does provide helpful skills.

The course gives a nice overview of Python, Pandas and Numpy libraries. It does not give a complete overview on what the libraries contain or are designed for, but it introduces selected examples and programming tasks that utilize the library functions. Programming tasks are done on Jupyter Notebooks, partially in IBM Cloud. There are some broken links in the course material, but it works.

It was an interesting project that helped familiarize you with some interesting tools and show the types of things possible, but I thought maybe there was a tad too much hand-holding. That being said, I peer-reviewed somebody who missed every question because they just didn't seem to really understand what was going on and tried to mindlessly follow the hand-holding.

The explanations were thorough, and it was fun to learn web scraping. However, Watson Studio was difficult to deal with. I was unable to open up my "final assignment" notebook after I exited out. The "Assets" tab did not seem to work for the Db2 Lite Plan. I had to redo parts of the final notebook and complete it in one sitting.

It's a great course, but it's too complicated and is lacking a lot of information despite being asked in the final quiz. I had to spend many hours on the quiz and guessing different ways to solve the problems. It's unfair to ask things in the quiz which are not referred to in the course as many of us are beginners.

Python project is a good for getting a good understanding of web scrapping, getting hands'on on all concepts of data management using Python. It needs critical thinking to provide best and efficient solution to a problem as Python offers multiple way to solve same problem with different level of complexity

More difficult than other courses in the cursus, but more realistic too, need to search on google, stackoverflow and so on. Final assignment lets us try many ideas. Remember course 1, we need to be curious. Four stars because I had some bugs while taking first quiz.

A nice project to put into practice a few of the things covered in the previous courses. Still I would recommend stressing the importance of python knowledge for this one though.

A cool introductory project that's a great way to learn how to apply some Python basics. The project has a little too much hand-holding, in my opinion, but is still very good.

It was cool to work on an interesting project and familiarize myself with web scraping. The labs and final were challenging, but that made it rewarding when it worked out.

It is the best course for now among the course 1,2,3,4,5(that I have taken). However, I am expecting much harder and difficult projects :)

The project needs some Python coding concept which is not covered in previous section, may be hard for first time programmer.

Loved the course. Super hard for me and I liked it. It was a good challenge with real world examples. Learned a lot.

The Hands-on labs weren't working correctly, and you have little time to complete everything.

Basic and most important concepts are taught and assignment was also worth it ! Kudos Team!

I​f there was more guidance for the solutions it would have been amore constructive lesson.

Nice course to check out the practicality of the tasks performed in real case scenarios.

it was a great introduction to web data extraction, manipulation and display

Well designed course to understand the basics of Web scraping.