OU
Oct 13, 2021
I am currently studying Chemical Engineering. However, after going for industry training as a data analyst, I decided to venture more in this direction and I really learn a lot from this course.
MF
Mar 26, 2022
This course is optimal for the foundations and understanding of Data Engineering. Please take it and absorb all the knowledge and be amazed about your future with the Data Engineer certification.
By kamsii o
鈥Sep 23, 2023
Very Comprehensive
By Hopeton M
鈥Oct 26, 2021
loved the course
By Sheraz M
鈥Aug 14, 2021
Informative
By Hanifi L M
鈥Jan 27, 2025
Nice course
By NISCHAL A
鈥Jan 26, 2025
good course
By Paitoon p
鈥Apr 9, 2023
Good course
By Garrick B N
鈥Jun 2, 2023
very good
By Pedro Q
鈥Apr 29, 2022
Exelente
By Nadia A H P
鈥Jul 12, 2021
Amazing
By khalil d
鈥Oct 23, 2024
good
By Moustapha K
鈥Aug 22, 2024
bien
By kartikey m
鈥Jul 3, 2024
best
By Shubham G
鈥Nov 25, 2023
Nice
By 21O18 K F
鈥Jul 13, 2023
Good
By Peter S
鈥Feb 2, 2025
The course itself is a very good intro to terms and the data engineering world, but the optional Db2-Lite offering costs me 3 days of troubleshooting and still isn't working. I can provision a DB but cannot access the UI. I am given an error code HWCCON0104E where I cannot find more info and IBM is not willing to support because it is a free account. This means for each section I cannot complete the optional trainings which I was really excited to do. I am considering to give up on the IBM class and move to Google because of this.
By Valerio M S
鈥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 Kh么ng P Q H
鈥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
鈥Feb 4, 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
鈥May 20, 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
鈥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
鈥Apr 14, 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 T霉ng N
鈥Mar 16, 2023
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C谩c quan 膽i峄僲 g岷 nh瓢 kh么ng th峄憂g nh岷 膽岷縩 m峄檛 m峄 ti锚u
C谩c c芒u h峄廼 qu谩 铆t kh么ng cover 膽瓢峄 to脿n b峄 n峄檌 d霉ng h峄峜 t岷璸
By Neel S
鈥Dec 6, 2023
Feels AI generated. Mind numbingly easy. Still - good enough if you're starting at zero.
By Jeremy B
鈥Jan 10, 2023
Found the topics to be a little abstract, without much concrete information.
By Jennifer J
鈥Oct 27, 2022
A good intro for complete beginners. I wish there had been more lab work.