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Learner Reviews & Feedback for Introduction to Data Engineering by IBM

4.7

stars

3,190 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

Oct 13, 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.

Mar 26, 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.

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526 - 550 of 686 Reviews for Introduction to Data Engineering

By Mohammed S

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Apr 5, 2025

Great

By Neha P

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Feb 17, 2025

Best

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Feb 3, 2025

Good

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Feb 1, 2025

good

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Jan 15, 2025

nice

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Nov 19, 2024

nice

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Oct 3, 2023

Good

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Sep 10, 2023

good

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Aug 23, 2023

Good

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nice

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May 22, 2023

nice

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Sep 3, 2022

BEst

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Aug 8, 2022

good

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Mar 23, 2025

非常好

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Oct 10, 2024

wow

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Sep 17, 2021

ood

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By thani A

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Aug 10, 2022

By DUDUETSANG M

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Sep 23, 2024

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.

By John v S

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Oct 23, 2022

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.

By Domenic S

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Nov 2, 2021

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.