Very Comprehensive

loved the course

Informative

Good course

very good

Exelente

Amazing

good

bien

best

Nice

Good

I learned something from this course, and was prompted to read around the topic and view some videos which was valuable to me. It give me an idea of the field of "data engineering" and it gave me pause to think about the role itself. I didn't really like the material however. Lots of the questions had a feel of "say the right thing" (business, business, business) which felt like being at schoool. It's like, yes stakeholders and business value are important but you don't have to remind me all the time. I didn't really like the "professional" part of the role, though that is what it ends to do. I guess I don't view myself as a "cog" with skills - perhaps a foolish vision - since life is simpler if you view the world like this but that is off topic. Some of the distinctions and terminology seemed entirely academic and not necessary relating to reality. The concept of "data pipeline" seems a bit meaningless - it mostly seems to mean "doing data engineering". DB2 seemed a bit oversold, it felt like advertising put into the course. It was good to get a list of tools for different purposes, and it was good to be introduced to what people think is trendy.

Very basic, too much interviewing people and few content.

The IBM Cloud account setup fails very often, issues with keys and required to send emails.

Few questions are misleding if not wrong:

- the one asking which one is an example of semi-structured data where both emails and Tweets are actually semi-structured data.

- Other example the one asking to count unique values in a SQL statement where COUNT and DISTINCT are two options while the correct answer should be COUNT DISTINCT

The course initially succeeded in providing a good foundation, but it soon deviated from its primary goal by introducing an excessive amount of superfluous information. This overload of content is particularly problematic for beginners, who may feel pressured to memorize everything they encounter. As a result, they may become overwhelmed and struggle to identify the key concepts, ultimately hindering their learning progress.

This was a deep dive into the data world that provides so much knowledge that could be beneficial to any data professional. I did not find the interview of data engineer videos to be a productive use of time. They mainly reiterate what you have already learned in the previous videos. 3 stars because I was disappointed with the lack of technical skill-building compared to the Google Data Analytics certificate program.

This introduction class is ok for a beginner, but I don't recommend it. Lots of theory, little practice. Practice requires registration for an IBM cloud, but even their infrastructure is error-prone. One or two videos are a bit repetitive of the same content from previous videos.

A lot of content and time is about Data Engineering careers, etc. including quiz questions. These are good to know as a FYI but I don't think it should be included in course quizzes.

Everything is extremely redundant. Practice quizzes are identical to the video. This does not reinforce learning only memorization. Try asking the questions in a different way

Quá nhiều nội dung quan điểm của chuyên gia

Các quan điểm gần như không thống nhất đến một mục tiêu

Các câu hỏi quá ít không cover được toàn bộ nội dùng học tập

Feels AI generated. Mind numbingly easy. Still - good enough if you're starting at zero.

Found the topics to be a little abstract, without much concrete information.

A good intro for complete beginners. I wish there had been more lab work.

Very dense, not enough coursework to reinforce retention of the material.

There are no technical or coding concepts, is basically theoretical