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.
FT
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I think more hands on experience is required. And the course was pretty short. But the fact that they repeated things several times was very helpful to stick into mind.
By Guilherme M
•Mar 14, 2022
The course content is simply fantastic, plus all the content is presented in a very organized and straightforward way. The participation of experts was crucial to have a very realistic idea of the market and what must be done to become a Data Engineer.
By Tony G
•Feb 20, 2023
This is the very basic conecept that is tackled by this course, yet I still gain new insights from it. The explanation of the speaker is very clear and concise, and the testimonies of the experts are help the learners to be more motivated to learn
By Haseenuddin Q H Q
•Jul 13, 2023
Very Interesting and Informative course. The best part is we get to know about the role and responsibility of Data Engineer from the Industry Specialists. Thank you Coursera and IBM for bringing such a wonderfull Course. Happy Learning !!
By Julio C F A
•Aug 5, 2022
It is a great course. It has been very well designed so we can learn easily and understand all the topics about data engineering.
If you are trying to start your professional journey in this field, this is the best way to begin your path.
By OSORNO O R J
•Sep 24, 2024
Sinceramente me gustó mucho el curso porque te da un panorama muy amplio de todas las diversas tecnologÃas que abarca la ingenierÃa de datos además de darte puntos de vista de expertos acerca de la aplicación del rol en el campo laboral
By Avdhut N
•Dec 7, 2022
This course explains Data engineering and the role of a Data engineer in the organization in a detailed manner. Various topics covered are the type of databases, architecture of data platform, and different layers of the data pipeline.
By Carlos E A
•Oct 11, 2022
This is my very first course on Coursera. I was mesmerized by its quality and by the amount of reliable content in it. Without any doubt, I highly recommend it if you would like to understand the general purpose of Data Engineering.
By Ryan M
•Jul 30, 2023
A good introduction to the world of data, mostly to make sure it's the right field for you. Has a lot of professional wisdom from people in the field, so you get an idea of what is expected, valued, and required for a job in data.
By Santiago Z A
•Sep 2, 2022
This was a GREAT course! In comparison with another courser for beginners, you have a bigger picture of what data engineering is, the tools, services in the cloud.
The opinions and advices given by the experts are valuable.
By Muhammad R A
•May 26, 2024
This course is fantastic. I love the way of IBM team prepared the curriculum. The IBM team conveys the lesson comprehensively. I get so much knowledge as well as insights from this course about data engineering.
By MUHAMMAD A
•Mar 8, 2023
This was my first ever course on Coursera. I really enjoyed this course, the content is amazing and very detailed. I would highly encourage my fellow students to pursue it to really understand the data spectrum.
By Estifanos B M
•Oct 28, 2021
A simple yet a foundational introduction to Data and how you can maipulate it. I would say anyone with the interest of pursuing data related career takes this course as it explains the basic surrounding of data.
By Ismael M F
•Oct 1, 2022
Great introduction and exhaustive overview of the ecosystem, roles and skills. IBM's Cloud Db2 rounds up the task by providing first hands-on experience. This is what was expecting from an introductory course.
By karan k
•Nov 9, 2022
If someone wants to make career in Data Engineering , they should enroll in the course. The course gives us the fundamental knowledge of data engineering concepts that build a strong base for the career.
By Irena H
•Apr 25, 2022
This course gave me a clear image of what data engineering is, also, u don't have to have advanced level of english to get all topics right, i understood everyting on my intermediate level.
Many thanks!
By LUIS A G A
•Jan 8, 2023
Primero que todo gracias a Dios por permitirme culminar este curso el cual es el inicio de mis éxitos, gracias a todos y cada uno de los que hicieron posible mi aprendizaje.
Gracias Coursera
By Diego A W
•Nov 27, 2023
Very good course. It gives you a broad overview of the various fields that make up data engineering, with questionnaires that help you understand the topics and a little practice with SQL.
By Asanka W
•Aug 11, 2022
This is good course for startup in data engineering.if someone new to data engineering field i highly recomanded this course. i covers more topics which is related to data warehousing
By Marc-André G
•Dec 30, 2021
This course was a really helpful introduction on the subject, but according to me, the subsequent courses for the path of Data engineering is not as narrowed as this one on the field.
By Caio M
•Aug 14, 2024
A very good introduction course. It presents all ecosystem of Data Engineering, the fields of works and specific areas related to ir and also all its technologies and applications.
By Peter J T
•Apr 8, 2024
Very good introduction to Data Engineering. Not too technical, but a very good foundation of both technical concepts and soft skills required in becoming a successful data engineer.
By Ray P
•Apr 17, 2022
This was an excellent introduction into data. It makes me excited to be learning about something that is very important in today's world and to be seeing it from a new perspective.
By Naomi L
•Aug 15, 2024
This course was insightful, I've learnt a lot. I enjoyed how I also got to hear from experts who are already in the field, everything they were saying was constructive. Thank you.
By Reign C D V
•Oct 11, 2023
It captures required concepts for starting out your data engineering journey. Although the concepts are hard to understand if one has entirely no background in data-related jobs.
By Talhatak
•Oct 2, 2022
This course nicely covered the basics of Data Engineering and helped me understand Data Engineering in an excellent way through examples and hands-on lab activities.
Thanks,
IBM