I knew about ETL process in python.

The couse is good for beginners

This is a good hands-on learning course. However, a certain portion of the existing instructions/design in the final peer-reviewed assignment causes an output that, if the student is not paying attention, will lead them to submitting incorrect results during the grading process. This really needs to be remedied, though it has been addressed in the forum. Make sure to reference the thread on the Extract step to avoid this pitfall! Also, make sure to import the notebook into the lab environment if you need extra time to work through any errors/difficulties/unexpected results because you could possibly max out your monthly Watson Studio Lite usage time in one afternoon.

It delivers well on establishing the basics of webscraping and api usage. The quizzes and assignment questions could be improved by a lot as currently, they don't really do much in assessing how much one has learnt nor do they challenge you to delve deeper.

The labs are well structured though it's best if the student is left to write their own code after an example has been shown, rather than have the code or part of it written for them in which case the learning is dampened a little. For support, the solution/hint may be hidden away somewhere for the student to view if they need assistance.

The course was worthwhile, and I appreciate it. Thank you :)

The course content is good, but peer review is a bad choice. Peer review depends on everyone knowing what they are doing, but this is not always the case. It is time wasting to resubmit and wait to be graded again because of other people's fault. At least there should be a mentor who can help with the appealing process, provide feedback, or grade people who have to resubmit.

It's the most complex course I've even take at the moment in this road to Certificado profesional de IBM Data Engineering. The previous Python for Data Science AI & Development give the basic tools for doing it but the level of complexity, the unclearity to understand what we have to do and the excesive quantity of optional labs do it very difficult to understand.

This course could be much better. The lab work does help one to grow in their ability but there are mistakes throughout the labs giving the sense of a lack of care going into its design including a lack of pedagogical thought and skill. I am generally concerned that the 'rating' system of ed tech is increasing the ability of marketing to hide low quality.

Thanks to mandatory part of course I am able to try to parse hell of any wiki page with tables in it (actually it was quite annoying at the end) The most interesting part was the optional, which allowed to give at least 3/5

There were points of confusion in the hands-on exercises. A week of Panadas and perhaps a little deeper dive into Beautiful Soup would go a long way to make this a stellar course.

Great but the answers to the practice excercises were NEEDED

too basic. Good for beginners

Very very hard class that I did not feel prepared for when going into the final project. took me a very long time to figure everything out. I wish there had been more practice projects to help cement fundamentals, and when the practice projects did ask you to do things on your own they gave no answers to know if you are right. If they just had more practice and simpler ways to practice what you learned I don't think it would have been as bad.

A lot of mistakes. Teachers don't familiar with official documentation things like http requests. They don't read my questions with care and give unrelated answers. I'm disappointed to see it IBM's course. If teachers don't know easy things, what is the value of the course

Frustratingly obtuse directions. Labs and final project instructions littered with errors and contradicting instructions. This course in no way sets learners up for success.

Interface is buggy - and instructions are too shallow - Also no way to troubleshoot- there are far better courses where you are not wasting time trying to simply save a file

Everything that IBM makes you use (like they NEED you to like their services is beyond buggy)

The content was so week for understanding and doing project well.