MF
Mar 25, 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.
OU
Oct 12, 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.
By Pallavi P
•Jan 13, 2022
Very Good Contents and nicely explain
By Ahmed B
•Oct 27, 2021
best for a all round starting course
By Andrès M
•Sep 19, 2024
Tal vez más ejercicios prácticos
By Robert K
•Oct 23, 2022
to fast for non english speaker
By S V
•Feb 13, 2022
More theoretic, less practice
By Muhammad S
•May 29, 2023
Interesting and informative
By Ziad A
•Oct 24, 2022
Great Introduction Course
By Kouakou B K
•May 8, 2023
Educational for bigenners
By Manuel G C
•Jan 13, 2022
Good introduction course
By Leon M
•Jun 22, 2024
i recommend this course
By Akinbuluma T
•Aug 17, 2023
Nice and informative
By kamsii o
•Sep 23, 2023
Very Comprehensive
By Hopeton M
•Oct 25, 2021
loved the course
By Sheraz M
•Aug 13, 2021
Informative
By Paitoon p
•Apr 9, 2023
Good course
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 khalil d
•Oct 22, 2024
good
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