I feel though the final project suffered from issues with permissions, and there was a lack of a standard setup. Where should DAG scripts go? Why should they be in a folder with admin only permissions? Submitting screenshots is tedious and (frankly) shows a lack of willingness on the part of the course designers to use tools like nbgrader/Jupyter notebooks or other automated grading solutions.

Warning, if you can write a "Hello World" program in any language, you probably want to skip this course/certification.

As with all these IBM courses this one is super boring. Robot voice talking over powerpoints, as usual. This one stuck out as especially bad because the online lab environment is very unreliable. So much time was wasted waiting for airflow to fail to start. Extremely frustrating!

Great course! I found the challenge intensity for the final peer-graded assignment to be at a perfect level for this course. It brought together many skills from this course and several previous courses in the IBM Data Engineering Professional Certificate curriculum.

The course is excellent and well-prepared. The instructor is very helpful and responsive on the discussion board. I really appreciate having the opportunity to learn from this course. Thank you to all the instructors and peers for reviewing assignments.

Amazing for beginners to this subject! The labs are super useful and everything is explained in a really nice way. Can definitely get you started doing a simple project using all that you've learned. Something nice for your portfolio and github :)

The course is simply amazing which provides good amount of hands-on sessions to learn about building data pipelines with Shell scripting, Airflow and Kafka. I highly recommend this course to anyone who wants to be a Data Engineer.

Overall it's a good course. I wish I could use dos2unix, tr, or sed for removing ^M from the toll_data.tsv. The Final Assignment Instructions could have been clearer.

Thanks to all the instructor's efforts, one of the best DATA engineering courses, contains hands-on Experience with essential data tools.

Relevant information in recordings, good recap of every video and hand-on lesson in the end to concrete the knowledge.

Labs in this course are very helpful and to the point. It took me a while to complete this course but i learned a lot.

Very useful high-level overview with practical examples of the major technologies that drive modern data pipelines.

The explanation was very thorough and easy to understand. The exercises were very helpful. Great course overall!

This was my first introduction to Apache airflow and i found the course detailed and practical.

Nice intro to ETL and Data Pipelines. Beginner level easy to follow hands on Airflow and Kafka.

Muy satisfecho con el contenido del curso, y los laboratorios. Thank you very much!

Perfect Intro to Airflow and Kafka !

The Final Project is very fun and instructive

It was not easy to pass this course. Lots of laboratory work. But I liked it

Great hands-on (alike the others in the pack)! Practical and interactive.

個人的にはData Warehouse Engineerの目玉となる講義でした。Pythonを使うことで、画期的に楽しくなりますね。

Succinctly presented. Labs really hammered the point home :)

Great content but the labs can be challenging to work with.

Great Course, Assignments prepare really well and flexible

Great learning course for Kafka/ Airflow, well presented

Learn a lot about Apache Airflow, Kafka from sketch.

That Kafka unit was soo mindboggling but worth it