The Data Engineer Bootcamp 2026 (Udemy.com)

I thought the course was pretty good, the level of detail was a little uneven some areas where I wanted more detail were high level and other's were very detailed. Also the airflow information is out of date many of the set-up steps and commands are deprecated so the course needs to be updated. I thought though as an overview this covered a lot of ground and I liked the advanced topics.

Very good content overall. However, the course feels a bit mixed in terms of depth—it can be challenging for beginners, while some sections may feel too basic for mid-level engineers. That said, I found it helpful for refreshing the fundamentals of the tech stack, and the explanations in several sections were particularly well done.

Aun falta por terminar, pero me encanta la forma de explicar de la persona que imparte. Se nota con conocimientos y bastante aterrizados los ejemplos

Learning more about Date Engineering and the presenter does a good job of giving easy to understand explanations of what a data engineer is and what they do.

The course is very professional. As an experienced data analyst expanding to the field of data engineering - I learned a lot. It was a little bit too detailed at times, especially on the theoretical concepts which I found quite intuitive, so I often found myself skipping explanations that I felt they were obvious

The topics were clear and walked through at a reasonable pace. I would only suggest the volume of the video to be raised.

Less content to refer back and most content verbal only. Appreciate the presented but lack of reading material makes it difficult to revise. Most of the material is verbal and a long video without much diagram on concept present on screen to refer to the speech.

It touches upon topics I was curious about. Really good information describing what Data Engineering is about and how it works in an organization.

The course is very professional. As an experienced data analyst expanding to the field of data engineering - I learned a lot. It was a little bit too detailed at times, especially on the theoretical concepts which I found quite intuitive, so I often found myself skipping explanations that I felt they were obvious

The first nine sections are a copy and paste of the 'Intro to Data Engineering' course and as such some of the content later on in this course is mirrored. That aside the pace is good and content is relevant.