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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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126 - 150 of 627 Reviews for Introduction to Data Engineering

By gabriela p

May 25, 2023

Excellent course! gave me an excellent overview of the field and clear path to continue my studies. I highly recommend this course.

By Pam G

Jan 5, 2022

Really good class! I didn't know what Data Engineering was, but now I have a passion for it after learning about it in this course!

By Gustavo R

Mar 7, 2022

Nice introduction to data engineering, completely recommended.

Excelente introducción a la ingenieria de datos, muy recomendado.

By Abel M

Dec 1, 2023

It is a great course and easy to understand. The exercises and graded quiz are also good to evaluate the knowledge that we get.

By Lusako N

Sep 1, 2024

Gives you a broad overview of the data engineering profession/skill. Prepares you for the more involved courses down the line.

By Tea K

May 8, 2023

Informative enough for having decided on the path chosen! Though the delivery is a bit "dry", but the content is really great!

By Gabriel

Apr 27, 2023

Good introduction to the data engineering field that gives a great overview to the beginners of what he is going to study for

By Umar Q

Oct 10, 2021

Gave a great overview of the field and clearly defined the role and differences between Data Science, Analysts and engineers.

By Yinghao Z

Sep 11, 2021

A really good introduction to the data engineering area covering every necessary details needed. More hands-on labs expected.

By Kỳ N Đ

Aug 29, 2021

This is a nice course. It is infomative and helpful. Help me understand general concepts of data engineering. Thanks so much!

By Goutham K

Aug 16, 2021

This is a great introductory course. Grateful to IBM, Coursera and everyone involved in delivering this valuable curriculum.

By Mohamed E

Oct 25, 2022

Great introductory course to the field, I benifited alot during the course journey....many thanks IBM & Coursera teams

By Muhammad U N

Nov 18, 2021

Geat content for introduction level courses. This course provided great introduction to the field of Data Engineering.

By Elena G

Sep 26, 2022

You are the best. Thank you very very much! The course is great and the people who took part and created it. Bravo)))

By Roberta B

Aug 9, 2023

I think that this course is good because it is well organized, and put ideas on the right order. Very good beginning.

By Alexander O

Jun 17, 2022

Week 4 and week 1 should be swapped, as that would give people a better insight into what the course is leading into.

By Essam H

Apr 25, 2023

Thanks to all the teachers in this course for the valuable information they gave us. It really is a valuable course

By David H

Jul 11, 2022

This course provided a very good framework to understand the overall picture of data engineering and the ecosystem.

By Daniel T R

Oct 22, 2023

It is a good course to generally understand the bases of data engineering and how it relates to other specialists.

By Nasim H

Aug 9, 2021

This Course Has Nice, Concise and Organized Contents Dealing with the Pragmatic Experiences of the Real World.

By ADEBAYO A B

Dec 12, 2022

The course is perfect for a total beginner like me. Thanks to the amazing facilitators and the whole IBM team!

By ahmed m m

Jun 5, 2021

Thanks for helping me to learn this course it is very easy to understand the instructors and study this course

By Nat h

Jul 13, 2023

I think this course was a good baseline for anyone looking at learning Data Engineering and data in general.

By MD S H U

Apr 25, 2022

A brief and precise introduction of data engineering system and how it is operating in the current IT world.

By Ratan S

Jan 2, 2024

Thank you for giving a well structured overview and detailed information about the data engineering topics.