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Learner Reviews & Feedback for Introduction to Data Engineering by IBM

4.7
stars
2,803 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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326 - 350 of 614 Reviews for Introduction to Data Engineering

By Martin C

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Aug 3, 2023

A good start in a journey totally new!

By Serg V

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Jun 16, 2022

Nice course in clear English. Thanks!

By Pafadnam I

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Oct 24, 2024

ça a été une belle expérience, thanks

By onuoha V

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Aug 26, 2023

more knowleage aout data engineering

By VYZANIARIS G

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Jul 8, 2023

Very good as an introductory course!

By Vinay Z

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Sep 5, 2022

Very NIce COurse to start on Data...

By Elsandro R

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Sep 19, 2024

Conhecimento muito bem transmitido.

By AUSTINE O O

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Aug 23, 2024

Weel structured and updated content

By Shahmurad M

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Jan 11, 2024

Introduction was good and motivated

By Richard I

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Jul 19, 2023

It provides an indepth intoduction.

By TRAN B

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Sep 1, 2021

The course is very good and helpful

By Chukwu A

•

Aug 23, 2024

it was a great learning experience

By Julian E

•

Jan 15, 2024

Very thorough course worth taking!

By sam z

•

Dec 16, 2023

Great course with useful materials

By DYUTIMOY B

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Apr 5, 2023

overall it was very helpful for me

By Ashwin P

•

Oct 1, 2022

Very Informative course, Loved it

By Bouhjari A

•

Aug 18, 2022

Very recommanded course for basics

By Ruth S B

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Dec 3, 2021

clear, precise and well documented

By Bleixen A V R

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Oct 28, 2024

muy detallado el curso, me gusto.

By Shanuka D

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May 12, 2024

One of the best courses available

By katawut.p

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Jan 4, 2024

Nice course for new data engineer

By Alena V

•

Mar 29, 2022

Very good course for Introduction

By Serhad K

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Mar 17, 2024

It was great to have the course.

By 김준형

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Jul 28, 2022

Great for Data Engineer Beginner

By Ditmar H

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Jul 16, 2022

Very Informative and up to date