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Learner Reviews & Feedback for Introduction to Data Engineering by IBM

4.7
stars
2,827 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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601 - 616 of 616 Reviews for Introduction to Data Engineering

By Nick S

Dec 1, 2023

I expected so much more from IBM. Auto-generated lessons which evaluate jargon memorization over actual knowledge and understanding. Hands-on is copy-paste. I stuck through the introduction modules thinking it would get better. It didn't.

By Vishmi R

Nov 15, 2021

Giving 1 star because there is no notification before being charged for subscription. I have totally lost interest in completing anymore IBM courses on coursera for this reason. The subscription is not cheap.

By Kyle D

Apr 21, 2023

The IBM ungraded hands on assignments don't work at all. It's a completely missed opportunity for hands on experience. They should be removed from the course or fixed.

By Joshua C

May 29, 2024

Multiple times the quizzes for this specialization state that the ETL process is not crucial. How do you get this obvious fact wrong so many times ,especially as IBM.

By Reinaldo L

May 30, 2023

i cannot get access to the IBM lab environment, there is some kind of credit card problem. So i had to give up all IBM courses.

By Jure F

Apr 4, 2022

Videos don't work - tried multiple browsers. Not a great way to introduce data to people

By Benoit P

Jul 18, 2022

Can't create and IBM account. Try with 3 differents mail with firefox and chrome.

By James K

Apr 12, 2023

Why is there no unenroll option easily found / used to stop doing this course?

By Shoeb

Dec 22, 2022

The course work feels like audio book. I could not follow anything

By Nitin J

Oct 8, 2023

There is not practical knowledge. Only theory concept.

By Chance F H

Mar 12, 2024

outdated reviews of data jobs in magazines from 2011

By Subhajit P

Oct 3, 2023

Course not progressing. Very bad customer support.

By Deleted A

Aug 2, 2021

it repeat the same thing over and over.

By Edwin R E

Apr 19, 2022

A very professional experience!

By Eloy S M

Jul 10, 2024

Not geeting any certificate

By Alexey S

Jan 4, 2024

incorrect assesment