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Learner Reviews & Feedback for Introduction to Data Engineering by IBM

4.7

stars

3,569 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

Sep 25, 2021

I felt the course was the perfect introduction for someone like me that has been on the sales side of most software. I feel that it wasnt ovewhelming at all, and I mostly enjoyed the labs.

Jul 1, 2022

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.

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By Guilherme C d S B

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Oct 31, 2021

mt bom

By Дәулетниязқызы А

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Oct 9, 2025

класс

By Luis E G A

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Jul 27, 2025

finel

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May 29, 2025

great

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Apr 5, 2025

Great

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Jan 9, 2026

nice

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Jan 5, 2026

Nice

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Dec 22, 2025

Cool

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Feb 16, 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 2, 2023

Good

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Sep 10, 2023

good

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Aug 22, 2023

Good

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Jul 4, 2023

nice

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May 22, 2023

nice

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Sep 3, 2022

BEst

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Aug 7, 2022

good

By NALLAGATLA L M

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Jun 22, 2025

gud

By 石启

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Mar 22, 2025

非常好

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Oct 10, 2024

wow

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Sep 16, 2021

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Apr 29, 2025