JA
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Great overall! The viewpoints from data professionals complements the educational content very well and gives the student a much better idea of what the process is to become a data engineer.
MS
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This course was well made and informative. I went in knowing little about data engineering and now I have a much clear understanding of what data engineering is all about.
By Garrick B N
•Jun 2, 2023
very good
By Pedro Q
•Apr 28, 2022
Exelente
By Nadia A H P
•Jul 11, 2021
Amazing
By Mustafa S d A
•Aug 22, 2024
bien
By kartikey m
•Jul 3, 2024
best
By Shubham G
•Nov 25, 2023
Nice
By 21O18 K F
•Jul 13, 2023
Good
By Tom W
•Sep 26, 2024
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.
By Valerio M S
•Apr 5, 2023
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
By Không P Q H
•Jul 26, 2024
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.
By Jess K
•Feb 3, 2024
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.
By Lynessa B
•May 19, 2023
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.
By Mayank R
•Mar 10, 2021
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.
By Samuel R
•Apr 13, 2023
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
By Tùng N Q
•Mar 15, 2023
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
By Neel S
•Dec 5, 2023
Feels AI generated. Mind numbingly easy. Still - good enough if you're starting at zero.
By Jeremy B
•Jan 10, 2023
Found the topics to be a little abstract, without much concrete information.
By Jennifer J
•Oct 27, 2022
A good intro for complete beginners. I wish there had been more lab work.
By Jasmine M
•Mar 21, 2023
Very dense, not enough coursework to reinforce retention of the material.
By Santiago P P
•Sep 16, 2023
There are no technical or coding concepts, is basically theoretical
By Spiros O
•Aug 29, 2023
It's good for a really beginner in the industry.
By Muhammad J
•Oct 29, 2022
Good for begineer
By abdulla a
•Oct 3, 2022
By Samy B
•Mar 28, 2023
In my opinion this intro is too long, had lots of repetition and is so boring. You don't really need to explain basic concepts like Database Intersections and Joins. If the candidate doesn't have this basic background information then they should acquire it from a lower level course to get ready for a professional certificate like this, and quite honestly it makes me lose confidence in the value of getting this certificate myself. I have 1 year experience as a Data Engineer.
By Richárd S
•Nov 19, 2021
The basic material would be good, but the presentation and quality is poor. No resources added, the IBM service (IBM cloud) you should use for lab assignments needs a credit card, which was no problem for me, but my account got deactivated for no reason, and I would say customer care is non existing at IBM as they don't give you any kind of information. I had the feeling who ever created this material is an expert on its field, but had not much to do with teaching.