I tried 50 Data Engineer courses.

When I started learning data engineering, I thought courses were the answer. So I did what most people do:

1. Bought a few Udemy courses.

2. Tried out a Microsoft cert.

3. Even racked up a bill on Databricks.

And after months of effort…
I still didn’t feel job-ready.

Here’s the problem:

→ Most courses don’t teach you how to think like a Data Engineer.
They just teach you tools.

I didn’t need another lecture on what Spark is.
I needed to build something.

I needed:
• SQL
• Python
• Real-world ETL pipelines

Not dashboards, not cloud fluff.

So I sat down, tested everything, and in my latest video I break down the Top 5 Data Engineer courses I actually recommend.

Watch it here → https://youtu.be/b4Qm5wZ5sOY 

And if you just want to skip the trial-and-error?

👉 DataCamp’s Data Engineer in Python is my top pick.
It’s project-based, beginner-friendly, and 50% off right now:
https://datacamp.pxf.io/2aMRGz

It’s the roadmap I wish I had when I started—hands-on SQL, Python, ETL, and real-world projects instead of just clicking around in cloud dashboards.

Luke