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Learner Reviews & Feedback for Introduction to Data Engineering by IBM

4.7
stars
2,865 ratings

About the Course

Start your journey in one of the fastest growing professions today with this beginner-friendly Data Engineering course! You will be introduced to the core concepts, processes, and tools you need to know in order to get a foundational knowledge of data engineering. as well as the roles that Data Engineers, Data Scientists, and Data Analysts play in the ecosystem. You will begin this course by understanding what is data engineering as well as the roles that Data Engineers, Data Scientists, and Data Analysts play in this exciting field. Next you will learn about the data engineering ecosystem, the different types of data structures, file formats, sources of data, and the languages data professionals use in their day-to-day tasks. You will become familiar with the components of a data platform and gain an understanding of several different types of data repositories such as Relational (RDBMS) and NoSQL databases, Data Warehouses, Data Marts, Data Lakes and Data Lakehouses. You’ll then learn about Big Data processing tools like Apache Hadoop and Spark. You will also become familiar with ETL, ELT, Data Pipelines and Data Integration. This course provides you with an understanding of a typical Data Engineering lifecycle which includes architecting data platforms, designing data stores, and gathering, importing, wrangling, querying, and analyzing data. You will also learn about security, governance, and compliance. You will learn about career opportunities in the field of Data Engineering and the different paths that you can take for getting skilled as a Data Engineer. You will hear from several experienced Data Engineers, sharing their insights and advice. By the end of this course, you will also have completed several hands-on labs and worked with a relational database, loaded data into the database, and performed some basic querying operations....

Top reviews

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.

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501 - 525 of 628 Reviews for Introduction to Data Engineering

By Marta L

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Aug 26, 2021

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.

By Hang Y

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Mar 17, 2022

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.

By Sandeep P

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Aug 25, 2021

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.

By Ahmed o

•

Jul 19, 2023

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.

By Jonathan P

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Sep 19, 2021

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.

By Madhumitha V

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Oct 27, 2022

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.

By Jesse K

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Sep 26, 2024

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.

By Klissmann A

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Jan 8, 2024

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.

By David B

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Nov 15, 2022

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.

By Nathan T

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May 28, 2022

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.

By Jorge R

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Aug 3, 2023

The course works well at the very beginning process (first two weeks). It provides you with brainstorms working as pointers to land a job in the filed. Other than that, this course is too far simply.

By Greg P

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Sep 26, 2022

Overall, a good course to take to learn about Data Engineering. I recommend it if you have no background in computer science or data. Some of the quiz questions were as difficult to understand.

By Lara A

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Dec 26, 2021

It’s a good introduction to data engineering. But as the course title it is just an introduction. You will need several follow up courses to get a hands on experience on the topic.

By fateme t

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May 9, 2021

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 Gianantonio M

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Dec 31, 2021

The course is quite interesting and full of practitioners insights.

In my opinion tests and peer assignments are quite easy, perhaps is this part that can be improved.

By CARLOS M A P

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Dec 19, 2023

It is a great introductory course. The cuality of the content is at the top. Nevertheless, I'd like to see more exercises or in-depth detail about data fundamentals

By Mauro S

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Apr 13, 2024

Good for a first approach to the topic. They have to allow to download the slides used in the teaching, otherwise it is very difficult to revise the topics taught.

By Robert L

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Oct 15, 2023

The course is a good overview of what Data Engineering entails. I took a star off for the atrocious Peer reviewing requirements though. That should be removed.

By Boris V

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Apr 10, 2024

Great course for beginners. Provide overview information about Data Engeneer position. Some module has duplicates infomation such as infomation about noSQL.

By Luis A A F

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Jan 29, 2024

Curso totalmente introductorio a el mundo de la ingeniería de datos. Explicación de las herramientas, procesos y roles dentro de la ingeniería de datos.

By Rahul R

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Mar 22, 2024

If you know nothing about data engineering, this will provide all the basic things to know but dont expect any specialization it is just an overview

By Arpita N

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Mar 8, 2024

Great course material providing foundational knowledge. took 1 start for improving the hands-on lab instructions for DB2 SQL and quiz mistake

By Vedant B

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Jul 19, 2021

I thought it would cover more technical things, but otherwise it was a great course and gave me vast knowledge about data engineering.

By Justin S

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Nov 23, 2022

Enjoyed it. I just wish the text was easier to read under the video (i.e. paragraphed and bullet pointed instead of clumped together)

By Thomas T

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Apr 4, 2024

Way too many generalized interviews with past/present data engineers. Stopped adding value to the learning after like the 5th video.