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Data Engineering 101: The Beginner's Guide (Udemy.com)

Master Modern Data Engineering Fundamentals

Created by: Seungchan Lee

Last updated June 2025

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What you will learn

  • Get an intuitive understanding of data engineering
  • Understand the most critical concepts in data engineering
  • Learn what the end-to-end data pipeline is comprised of and what each part of the pipeline does
  • Solidify your understanding with example end-to-end data pipeline architectures for the most popular use cases

How it compares

Against the other 1,182 rated Udemy courses in IT & Software on CourseDuck:

  • Rating4.6 out of 5higher than 67% of them
  • Reviews2,735#190 of 1,183 by number of reviews
  • Length3.8 hoursshorter than 63% of them
  • Last updatedJune 2025more recently than 51% of them

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Course Description

Master Modern Data Engineering Fundamentals

Are you curious about data engineering but unsure where to start?

Are you a software engineer, data scientist, or data analyst who wants to learn more about modern data engineering?

Dive into our intro course where we demystify the complexities of the field and give you a solid foundation in modern data engineering.

This course is tailored specifically for those who are new to the field, providing a clear and concise introduction to the essential concepts and tools used in modern data engineering today.


What You'll Learn:

  • What Exactly Is Data Engineering? Understand the core concept of data pipelines and the role of data engineering in a wider data team.

  • End-to-end data pipeline: Explore each part of the end-to-end data pipeline from data generation, storage, ingestion, transformation, and serving. Learn how data flows from creation to consumption.

  • Critical Data Engineering Concepts: Learn the most important concepts in data engineering, such as data warehouse vs data lakehouse, row-based vs column-based data stores, ELT vs ETL and more.

  • Introduction to Modern Data Engineering Tools: See how modern data tools like Dagster, Trino, DBT, and Apache Iceberg are used to build out the end-to-end data pipelines.

  • Modern Data Stack Architecture Examples: Get a solid introduction to the tools and technologies that data engineers use to architect end-to-end modern data pipelines for the four most common use cases: 1) Business analytics, 2) Streaming, 3) ML, and 4) Deep Learning.


Who Should Take This Course:

  • Beginners curious about building a career in data engineering.

  • Data professionals like Data Scientists or Data Analysts seeking to understand the fundamentals of modern data engineering.

  • Anyone who wants to learn about what role Data Engineering plays in data-driven businesses.


Why Take This Course?

  • This course is designed as a gentle introduction to the field of data engineering. It breaks down data engineering into clear sections within a data pipeline so you can see what data engineering is all about.

  • You will leave with a clear understanding of what data engineering is and a solid foundation to further explore more advanced topics or actually build out the modern data stack.


What This Course Is NOT:

  • Before you take this course, you should know what this course is NOT. This course is NOT a tutorial. So if you’re expecting to learn about how to set up and use tools like Spark or Airflow, or write SQL statements, this is not the course for you.

  • There’s no docker setup, there’s no tool installations, and there’s no coding.

  • If you’re looking for that kind of tutorial course, take a look at our more advanced data engineering courses where we walk you through how to actually build end-to-end data pipelines using cutting-edge open-source tools.


Join us on this exciting journey to discover the fundamentals of data engineering. Whether you're planning a career shift or just looking to broaden your technological horizons, this course will provide you with the knowledge and tools you need to succeed.

Ready to transform the way you see data? Join the course and let’s get started!

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Instructor Details

Seungchan Lee

I'm currently working on two projects.


First, DeepIntuitions is our attempt at bringing more talent into the field of AI and data engineering. We're constantly building new courses to give students a more intuitive understanding of complex subjects in AI and data engineering, as well as provide them with more hands-on tutorial courses to become experts in the field.


I'm also the Co-founder and Lead Engineer at Sidetrek. Sidetrek makes it 10x easier and faster to build a modern data/ML/AI stack using open-source tools.

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Reviews

4.6

2,735 ratings on Udemy

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By Michael Murphy on 7/18/2026

This was an excellent introduction, very accessible to beginners and paced well. The only knock, and it's only a half star, is there really should have been examples inside of the applications being discussed rather than just slides. Otherwise, excellent conceptual overview for an intro course.

By Chad Mattox on 7/13/2026

Good overview of Data Engeniering and Data Pipeline concepts. Very little mention of Microsoft/Azure stack solutions aside from Power BI...only reason I give 4.5 not 5.

By Cesar Miranda Ortega on 5/18/2026

The course is letting itself go and go and go, with terms and explanations. But the applications are unclear or lack real application examples.

By Lindsay Brown on 5/14/2026

Real life use cases for each of the overarching concepts. Wonderful diagrams illustrating the data pipeline. Instructor articulates his words clearly, and he’s empathetic, meaning he lets you know don’t be anxious if this does not yet make sense; more detail is coming later in the course.

By Reinaldo Wiener Rocca on 5/5/2026

I am very happy with this course, I think the lecturer explain every concept very clear, gives examples, and give very usefuls concepts. It's exactly I was looking for.

By Yaswanth Patha on 3/25/2026

Excellent Course, which covered every aspect of Data Engineering and explained different tools and their importance depending on the scenarios and necessity. Thanks for this course!

By Christian Zeiler on 2/24/2026

A good course for an introduction to data engineering. It helped me above all to gain an overview of the multitude of open source technologies and frameworks. Now I can better classify them in a DAP architecture and understand their benefits.

By Thabo Mpele on 2/5/2026

What a great course, I always say the foundational understanding the subject conceptually is key in learning a subject and this course gives a brilliant introduction to data in general. love it and learned a lot!!

By Denis Khaziev on 1/25/2026

Great foundational course for beginners who want a clear understanding of data engineering and adjacent fields like ML/DL and AI. The course explains how everything fits together and helps you understand how to start your own path in the Big Data world. The material is well-structured and not overwhelming, giving you a clear vision of the steps needed to move toward Data Engineering, or to decide whether ML or AI might be a better fit for you.

By Pooja Sathe on 1/6/2026

As someone who is a total beginner in Data Engineering, this course was extremely helpful for me to understand the fundamentals of this discipline. The sample data pipelines and concepts discussed in the course helped me get a good understanding of how things work and what entails data engineering.

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Overall Score : 92 / 100