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Good but, please give me the badge. Thank u

While there are valuable opportunities for hands-on experience provided for this course, I suspect there could be way more substance if more time and thoughtfulness were put into this course design. You will spend more time navigating linux errors than the actual central content. Navigating these type errors does provide valuable experience for a beginner in the teach field. I give a nod to that without releasing my conviction stated above concerning my personal assessment of the course.

I recently completed the IBM Data Engineering Professional Certificate on 糖心vlog官网观看, and I must say it's been an outstanding learning experience! The courses were well-structured, providing a comprehensive understanding of data engineering concepts and tools. The hands-on labs and real-world projects were incredibly valuable in applying what I learned. I feel well-equipped to tackle data engineering challenges in the industry. A big shout out to the instructors, IBM, and 糖心vlog官网观看 for this exceptional program!

The Capstone was a bit of an anticlimax. I was expecting a very challenging Capstone, but found a "follow the instructions" approach which made it seem too simple. I'm not complaining ;-)

I enjoyed having to go back and revise the other courses in the specialization. I had forgotten how interesting they were.

This was absolutely fantastic capstone project to complete at the end of IBM Data Engineering Professional Certificate course. loved it. Instructions were very helpful. Glad that I completed the entire 13 courses in 2.5 months period.

Great course to learn the fundamentals to become a very good Data Engineer !

good course for who want to become a Data Engineer

Awesome Courses from IBM, as always! Thanks.

That was a great experience!

Very hands on and informative

It warn up every lessons.

Well taught contents!!!!!

a lot of basic exercise

great capstone project

Great course

Very good!!

nice

Good

The instructions are very unclear and a lot of things are not working - like access to pgadmin and fileupload. Why not create a whole project from start to finish where the user has to keep on working on the same dataset? From extraction to ML-Model with Spark - I would have enjoyed something like this a lot more!

Labs did not work or were painfully slow.

Not issued the final certificate