Good

nice

nice

BEst

good

wow

ood

..

NA

ty

The Introduction to Data Engineering course offers a well-structured overview of key concepts in data engineering. It covers essential topics like data pipelines, ETL processes, and database management, making it ideal for beginners. The content is clear, with practical examples that help learners understand real-world applications. However, more advanced learners might find it a bit basic. Overall, it's a solid starting point for those looking to enter the field of data engineering.

Great introduction to Data Engineering. It made it possible that I can now find my way through a lot of language (HDF, SQL, RDMS, AWS, query, etc. etc.). But much more important is to learn that data engineering is the backbone for AI en Machine Learning. Without proper structured databases and high quality data it is "garbage in garbage out". This course made me learn what is necessary and important to realize high quality data.

I really enjoyed the Introduction to Data Engineering from IBM's Professional Certificate offering. As I continue with my academic pursuits, I will work at building my practical experience in the data science field. I will probably start out as a junior data analyst or programmer and from there, learn as much as I can about databases and data consumers to hopefully gain better insight into database administration.

Very useful insights into the basics of engineering, just enough to be able to navigate within more technical conversations as a project manager of any IT manager without tangible technical educational/professional background. However some videos were repeating topics several times, which was a bit boring on one side, on the other side helped to memorize the material.

This course is a good introduction to data engineering field for beginers.

The only thing that I don't like is the peer-graded assignment. Some peers DO NOT even have enough background to understand the answers that your wrote. They are NOT even capable to read English. They just gave 0 point on each answers that your wrote, even though your answers are CORRECT.

This course is suitable for beginners who want to start on Data Engineering.The expertise insight on specific topics are useful for beginners who have enrolled for this course.IBM designed this course for Data Engineers who want to start the career into Data Engineering who have less or no experience in this field.

The course was well structured, presented, and include a lot of valuable information. the only thing personally preferer, if there were a concrete examples to demonstrate all the terminologies as some were explained in abstract and didn't derive a sufficient understanding and building intuition.

Right level of detail for an introductory course; I appreciated the repetition as this helped to solidify the learning. My only suggestion would be to have longer quizzes / more assignments, as these were very short; sometimes 2 or 3 questions whereas Id recommend 10-15.

This course has given a clear vision on data Engineering. Some professionals has also provided thier experience and advises in the data engineering field. This course will provide a detailed view for the one who wants to start thier career as a data engineer.

I would have loved to see longer quizzes and more practice questions to help retain info longer, but overall quite a useful course. I much prefer to exercise the knowledge early in learning phases rather than review notes until a graded assignment appears.

El curso es bueno, sin embargo, no le doy las 5 estrellas porque: 1- Hay preguntas que están mal formuladas en los exámenes. 2- Hay preguntas mal traducidas al español. 3- Hay mucho contenido repetitivo que se podría cambiar.

This course is a good overview at a high level of data engineering. It seems to me that it could be better if most of the instruction was not mostly a script. Yet, while I critique this, the script is not terrible.

Good introduction to Data Engineering field! This cours is essentiel to provide the basics of understanding the key role data engineers play today into organizations and the way we can get into this field.