Back to Introduction to Data Engineering

Learner Reviews & Feedback for Introduction to Data Engineering by IBM

4.7

stars

3,195 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

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.

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.

Filter by:

526 - 550 of 688 Reviews for Introduction to Data Engineering

By Guilherme C d S B

•

Oct 31, 2021

mt bom

By Chris D

•

May 29, 2025

great

By MOHAMMED A M A

•

Apr 5, 2025

Great

By Neha P

•

Feb 17, 2025

Best

By Arislanbek Q

•

Feb 3, 2025

Good

By Arislan Q

•

Feb 1, 2025

good

By GAUTAM W

•

Jan 15, 2025

nice

By Benediktus A P

•

Nov 19, 2024

nice

By Javier D J T

•

Oct 3, 2023

Good

By Pradeep K

•

Sep 10, 2023

good

By DIMAS Y R

•

Aug 23, 2023

Good

By Orion W

•

Jul 5, 2023

nice

By RaviShankar

•

May 22, 2023

nice

By Kirat M

•

Sep 3, 2022

BEst

By Abhilas S

•

Aug 8, 2022

good

By 石启

•

Mar 23, 2025

非常好

By Stephano L

•

Oct 10, 2024

wow

By Emmanuel E D

•

Sep 17, 2021

ood

By Deleted A

•

Apr 29, 2025

By Enrique L

•

Feb 25, 2024

By Shital K

•

Sep 3, 2023

By Lírick P

•

Sep 2, 2021

By Daniela M

•

Sep 25, 2022

By thani A

•

Aug 10, 2022

By DUDUETSANG M

•

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.