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Learner Reviews & Feedback for Introduction to Data Engineering by IBM

4.7

stars

2,623 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

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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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Very good introduction to Data Engineering. Not too technical, but a very good foundation of both technical concepts and soft skills required in becoming a successful data engineer.

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451 - 475 of 593 Reviews for Introduction to Data Engineering

By Refah S A A

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Sep 9, 2022

perfect

By Mohamed Z

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Jun 18, 2022

Amazing!

By Marcos

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Apr 28, 2022

Amazing!

By Mai A D

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Jan 13, 2023

Usefull

By 유민규

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Jan 18, 2022

Thanks!

By Hugo M P U

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Dec 14, 2023

genial

By Abdulhadi A

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Nov 21, 2022

ممتازة

By Hanan k j a

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May 9, 2022

thanks

By Guilherme C d S B

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Oct 31, 2021

mt bom

By Javier D J T

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Oct 2, 2023

Good

By Pradeep K

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Sep 10, 2023

good

By DIMAS Y R

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Aug 22, 2023

Good

By Orion W

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Jul 4, 2023

nice

By RaviShankar

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May 22, 2023

nice

By Kirat M

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Sep 3, 2022

BEst

By Abhilas S

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Aug 7, 2022

good

By Emmanuel E D

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Sep 16, 2021

ood

By Enrique L

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Feb 25, 2024

By Shital K

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Sep 3, 2023

By Lírick P

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Sep 2, 2021

By Daniela M

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Sep 25, 2022

By thani A

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Aug 10, 2022

By DUDUETSANG M

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Sep 22, 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.