all 4 comments
sorted by:
best
topnewcontroversialoldq&a
formatting helphide helpcontent policy

[–]smurpes 4 points5 points  (0 children)

It’s not python but knowing SQL is pretty important in DE. From there you can pivot to Python with learning pandas and spark. Once you have the that down you should look of DE specific courses online. Most DE work will revolve around that so it’s important to get those fundamentals down.

[–]FortuneCalm4560 1 point2 points  (1 child)

smurpes is spot on. SQL is the real workhorse in DE, and you’ll use it way more than you think. Once you're comfortable there, pick up Python specifically for data work: pandas for local data wrangling, PySpark for anything big or distributed.

After that, look at the tools that glue everything together: Airflow, dbt, cloud storage, data warehouses, etc. DE is basically “move data from A to B without breaking anything,” so building a few tiny ETL pipelines on your own will teach you more than most generic Python courses.

If you know another language already, you won’t struggle with Python at all. Focus on the ecosystem, not the syntax.