Coursera-Clone VS Cookbook

GitHub repo: Coursera clone

https://github.com/andkret/Cookbook arunca un ochi aici. Omul are si youtube channel https://www.youtube.com/@andreaskayy

I can recommend https://learndataengineering.com by Anreas Krenz. Will guide you via all important topics starting from sql & python to building pipelines using AWS/GCP. I used to participate for 1 year (costs ~ 200 Euro/220$). It's a self-paced. So for ~15h/week you can switch into DE position for appr. 6 months.

I wonder if anyone involved in this post and comments have tried this? https://learndataengineering.com/

I think it's allowed: https://learndataengineering.com

From your post, you seem to be trained for data science for physics modeling, so I'd recommend to get started with https://ml-ops.org/ and for the data engineering part, I found this https://github.com/andkret/Cookbook open source cookbook to be invaluable.

I am doing this currently to fill in the blanks: https://learndataengineering.com. Also, do you know Python? If not take class on Udemy on that. Finally, data engineering is all about tools these days. I saw someone recommended this book here: Data Engineering with Python, I find it super hopeful. You download these tools (Apache Airflow, etc) and get a go with it. I am going to build some data pipelines via this book :)

the best way to be a dev or DE is to build stuff, not learning about algorithms. Just google DE academy, bootcamp or so. The linked one is quite good for a cheap price. A degree prepares you mostly for a PhD, not for a job. So dont look for degrees preparing you for a job in general.

I usually don't do self promotion, but because you directly asked for a good source. Look at my academy: https://learndataengineering.com

Find something like https://learndataengineering.com/, udemy or any other 'bootcamp/course' that goes on for few months and learn it. It is important that you will have some mentors or study buddies to exchange ideas or so.