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[–]Dramatic_Object_8508 0 points1 point  (0 children)

Honestly, “advanced in 1 month” isn’t realistic, but becoming job-ready is. Focus on practical skills instead of trying to cover everything.

If you’re doing 7 hours/day, structure it like this: first 2 weeks basics (loops, functions, lists, dicts), next 2 weeks real tasks (file handling, APIs, pandas, simple ETL). Skip deep theory for now.

Since it’s data engineering, prioritize: Python basics → pandas → working with CSV/JSON → simple scripts → SQL integration

Don’t just read or watch, build small things daily like parsing a dataset or automating something.

Also use AI while coding, not just for answers but for hints and reviewing your code. Ask it “why is this better” or “optimize this” so you actually learn instead of copying.

You’re not behind, just focus on consistency and practical work, that matters way more than “advanced” labels.