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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

PT

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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.

AW

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This is good course for startup in data engineering.if someone new to data engineering field i highly recomanded this course. i covers more topics which is related to data warehousing

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51 - 75 of 585 Reviews for Introduction to Data Engineering

By Guilherme M

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Mar 14, 2022

The course content is simply fantastic, plus all the content is presented in a very organized and straightforward way. The participation of experts was crucial to have a very realistic idea of the market and what must be done to become a Data Engineer.

By Tony G

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Feb 20, 2023

This is the very basic conecept that is tackled by this course, yet I still gain new insights from it. The explanation of the speaker is very clear and concise, and the testimonies of the experts are help the learners to be more motivated to learn

By Haseenuddin Q H Q

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Jul 13, 2023

Very Interesting and Informative course. The best part is we get to know about the role and responsibility of Data Engineer from the Industry Specialists. Thank you Coursera and IBM for bringing such a wonderfull Course. Happy Learning !!

By Julio C F A

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Aug 5, 2022

It is a great course. It has been very well designed so we can learn easily and understand all the topics about data engineering.

If you are trying to start your professional journey in this field, this is the best way to begin your path.

By Avdhut N

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Dec 7, 2022

This course explains Data engineering and the role of a Data engineer in the organization in a detailed manner. Various topics covered are the type of databases, architecture of data platform, and different layers of the data pipeline.

By Carlos E A

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Oct 11, 2022

This is my very first course on Coursera. I was mesmerized by its quality and by the amount of reliable content in it. Without any doubt, I highly recommend it if you would like to understand the general purpose of Data Engineering.

By Ryan M

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Jul 30, 2023

A good introduction to the world of data, mostly to make sure it's the right field for you. Has a lot of professional wisdom from people in the field, so you get an idea of what is expected, valued, and required for a job in data.

By Santiago Z A

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Sep 2, 2022

This was a GREAT course! In comparison with another courser for beginners, you have a bigger picture of what data engineering is, the tools, services in the cloud.

The opinions and advices given by the experts are valuable.

By Muhammad R A

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May 26, 2024

This course is fantastic. I love the way of IBM team prepared the curriculum. The IBM team conveys the lesson comprehensively. I get so much knowledge as well as insights from this course about data engineering.

By MUHAMMAD A

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Mar 8, 2023

This was my first ever course on Coursera. I really enjoyed this course, the content is amazing and very detailed. I would highly encourage my fellow students to pursue it to really understand the data spectrum.

By Estifanos B M

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Oct 28, 2021

A simple yet a foundational introduction to Data and how you can maipulate it. I would say anyone with the interest of pursuing data related career takes this course as it explains the basic surrounding of data.

By Ismael M F

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Oct 1, 2022

Great introduction and exhaustive overview of the ecosystem, roles and skills. IBM's Cloud Db2 rounds up the task by providing first hands-on experience. This is what was expecting from an introductory course.

By karan k

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Nov 9, 2022

If someone wants to make career in Data Engineering , they should enroll in the course. The course gives us the fundamental knowledge of data engineering concepts that build a strong base for the career.

By Irena H

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Apr 25, 2022

This course gave me a clear image of what data engineering is, also, u don't have to have advanced level of english to get all topics right, i understood everyting on my intermediate level.

Many thanks!

By LUIS A G A

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Jan 8, 2023

Primero que todo gracias a Dios por permitirme culminar este curso el cual es el inicio de mis éxitos, gracias a todos y cada uno de los que hicieron posible mi aprendizaje.

Gracias Coursera

By Diego A W

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Nov 27, 2023

Very good course. It gives you a broad overview of the various fields that make up data engineering, with questionnaires that help you understand the topics and a little practice with SQL.

By Asanka W

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Aug 11, 2022

This is good course for startup in data engineering.if someone new to data engineering field i highly recomanded this course. i covers more topics which is related to data warehousing

By Marc-André G

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Dec 30, 2021

This course was a really helpful introduction on the subject, but according to me, the subsequent courses for the path of Data engineering is not as narrowed as this one on the field.

By Caio M

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Aug 14, 2024

A very good introduction course. It presents all ecosystem of Data Engineering, the fields of works and specific areas related to ir and also all its technologies and applications.

By Peter J T

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Apr 8, 2024

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.

By Ray P

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Apr 17, 2022

This was an excellent introduction into data. It makes me excited to be learning about something that is very important in today's world and to be seeing it from a new perspective.

By Naomi L

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Aug 15, 2024

This course was insightful, I've learnt a lot. I enjoyed how I also got to hear from experts who are already in the field, everything they were saying was constructive. Thank you.

By Reign C D V

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Oct 11, 2023

It captures required concepts for starting out your data engineering journey. Although the concepts are hard to understand if one has entirely no background in data-related jobs.

By Talhatak

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Oct 2, 2022

This course nicely covered the basics of Data Engineering and helped me understand Data Engineering in an excellent way through examples and hands-on lab activities.

Thanks,

IBM

By Daniel F

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Feb 13, 2022

An excelent introduction. It gives an outline of the field, the profession, the tools, and the rest of the specialization. It could benefit from having a teacher on screen.