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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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26 - 50 of 614 Reviews for Introduction to Data Engineering

By pushkar d

•

May 8, 2022

I took this course as part of the "IBM Data Engineering Professional Certificate". As mentioned in the title, it is an introductory course and hence was quite theoretical and conceptual.

Even though it is theory, concepts are explained clearly and with examples. The "perspectives" videos from industry professionals make each topic come alive as it feels like you were the one to directly ask the people questions and are listening to their response. It also makes the section less dry.

Overall, I feel confident in my understanding of Data Engineering now. The only nitpick is that there is quite a bit of information to digest and it's better if you take running notes (helps revise for assignments as well)

By Divin E i

•

Mar 22, 2024

I would like to say big thank to coursera to give me this opportunity to learn IBM Data Engineering and I understand now the difference between data science, data analysts , big data and database administrator , and I understand how to open IBM cloud account and how to use a SQL and I get what exactly a data engineer can do in the job life . I finish my introduction and I’m excited to move to the next level to know more about Python, database,SQL ETL , DBA ,NoSQl, big data , Spark and Hadoop , Machine learning. And I recommend everyone to start study on coursera is the best website to learn 💕💪🫡

By WANNES K

•

Sep 15, 2024

Je suis formateur spécialiste polyvalent des TIC "MOS Expert, Instructeur Cisco CCNA, RHCE, ...". Depuis peu de temps, le monde de Data m'a impressionné et m'a attiré l'attention. Conscient que le future appartient à ceux qui maitrisent les données, j'ai abordé ce sujet de proche, et au bon milieu du chemin, je découvre une "forteresse" de cours IBM dispensé par Coursera, des cours bien expliqués, bien illustrés et bien enchainés. Les Labs sont aussi d'une valeur ajoutée. Un avantage de plus est la possibilité de suivre les cours à mon rythme.

By Md.Rahim U S

•

Feb 21, 2023

Great Learning & gain Exceptional Knowledge The Introduction to Data Engineering, Me to Understand All Areas of Data Engineering Concepts and a solid understanding of the fundamentals of data engineering, big data engineering, and database administration. , This Course Absolute to Right Who wants to be a Data Engineer, Big Data Engineer, DBA & More, This Course to Concept Building Large Scale Data Design & Data Platforms, Thanks a Million & Million to Coursera & IBM to Publish this course

By Marwan A S

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Aug 19, 2024

I took this course without having any prior knowledge in the data engineering or even computer science field, and it has taught me so much about the basics of data engineering. Sometimes during the course lessons however I found myself losing focus as some of the topics are repeated throughout the course lessons. All in all I would recommend this course to anyone that would like to enter the career of data engineering or would like to brush up on the basics of data engineering.

By Zaid S

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Jun 19, 2022

Well Defined Structure in the course defining the essential knowledge one needs to have to start off a career in Data Engineering. Gives information about the tasks that a Data Engineering has to perform as a routine and different specialization that may suite to one's interest as well. Recommended to start with this course to know whta you are getting into if you are planning to become a successful Data Engineer.

By Govardhan V

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Apr 17, 2021

Course is awesome to understand who are already working or who wish to jumpstart their career path in Data Engineering domain to make their decision about 1) which data repository should they used, 2) what kind of data store should be , 3) how to select the their production databased based on their need. Systematic, clean, neat and step by step approach make us easy to learn and remember key artifacts too.

By Aura C

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Sep 28, 2022

From my point of view, it seemed like an excellent introduction that placed me very well in the role of Date Engineer. I have no training in this area, but I have always been interested in Information Technology. I was very satisfied with the content of the course and the way it was presented. It is a very dense material that requires hours of dedication. Thanks for that fantastic job.

By Nina J

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Mar 13, 2022

The course content is a very well-structured, especially for me as a beginner. The viewpoints from the people who working as data engineer was five stars. The text transcript are very helpful too. The instruction for lab session easy to understand, except that some of the image a little blurry (but readable still), so it was okay.

By Wazir R

•

Oct 30, 2022

A very detailed introduction and a great general overview of the Data Engineering profession and body of knowledge. Would definitely recommend for anyone looking at starting a career into the data engineering field. The course covers all the content that are absolutely necessary to know and understand at a foundational level.

By Julio O

•

Nov 11, 2022

Excellent course. All the presented information is presented in an very clear way, anyone with the intention of learning these topics shouldn't have any problems understanding the concepts. I recommend taking notes in from every lessons, because the material is dense and quizes forces you to really understand the concepts.

By Danielle E

•

Apr 15, 2023

This course has a quick pace and is very engaging! So far, this is one of the best courses that I have taken as someone who has a degree. The pace feels similar to that of a college-level course rather than a slow beginner course. This has allowed me to actually stick with the program because I have stayed interested!

By Ikechukwu K

•

Apr 1, 2022

This course is awesome. It introduces the concept of data engineering so well while comparing it to other data-related fields such as data analysis, and data science.

I really liked the expert viewpoints on different subject matters - they helped give real-world perspectives too.

A big thank you to IBM for this course.

By Omid M

•

Mar 31, 2023

In my idea this course is very good starting point to data engineering field. The content is great because instructors try to build and represent big picture of domain knowledge, tools and technologies involved in this field. My special thanks to Coursera for bringing high-quality learning materials to eager people.

By Angela M

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Nov 27, 2023

A good general overview on the subject. I found the references to tools and platforms currently available in the marketplace and what they can be used for most helpful. The points of view from industry experts were insightful as well as their explanations of where data engineering fits into the tech world.

By Katrina S

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Feb 18, 2022

The content was a good overview of things to learn in future courses in the specialization. It was to the point and the advice from those who've worked in the field were informative. The diversity of experience among the course staff is very nice in order to get a broader view of working in the field.

By Faith B

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Nov 10, 2022

This was a great overview course. After completing it, I really understood how data is used and moved. I was able to articulate what I was learning and even conversed with someone in the field with surprising ease. It really opened my eyes to the enormity of data and how it continues to grow!

By Jide

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Sep 19, 2021

Without mincing words, this course was supported with a simple but detailed, easy-to-understand explanation of concepts and laid the proper introduction to Data Engineering. The real-life examples/scenarios from the instructors were good! The journey is worth it, no turning back! Thank you.

By ANDRES C

•

Oct 22, 2024

I was an absolute beginner when starting this course. Not only did the course have an amazing effect on my knowledge and skills, but also ignited the learner I was craving for, for online course. P.S. I have a gigantic healthy crush on Ember Crooks :P lol. Already following Datageek.blog

By Jerson E L A

•

Jan 11, 2022

The content for this introduction to data data engineering is very complete. It aims to get important notions about the data engineering field at the same time that allows to unterstand the difference and relationship between "data engineering", "data science" and "business intelligence".

By Long N T

•

Oct 18, 2021

It's a very good introduction course about data engineering as it covers well all basic aspects and perspectives of the domain. The presentations are good though not very rich materials. It would be much better if there were more hands-on exercises (the existing ones are too basic)

By Rachel N

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Oct 17, 2023

I learned the fundamentals of Data Engineering. Great for a beginner keen to start out in the field of data engineering or a seasoned data professional who needs working knowledge to effectively engage with and gain the most value from Data Engineers within their organisation.

By Sue P

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Sep 10, 2024

I just completed Introduction to Data Engineering. This course provided a comprehensive overview of the role of a Data Engineer and established a strong foundation in key concepts. Additionally, insights from experts enriched my understanding of real-world applications.

By Elias Z

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Apr 11, 2023

This Introduction to Data Engineering course is comprehensive and detailed about the concept of Data Engineering and it insights into many sub-careers. I recommend taking this course who want to work in DATA will have a clear concept of Data Engineering from end to end.

By Daniel M

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Mar 24, 2022

Este curso es perfecto para la persona que quiere dar inicio a este tema. Honestamente es muy completo en cuanto a contenido se refiere y toma en cuenta la explicacion de multiples tecnologias, no solo las de IBM. Estoy super motivado de seguir con esta serie de cursos.