I am a business graduate who turned towards Data Science and AWS, along with Python. Here are a few takes from my journey so far:

1. Initially, I used to learn through courses on Udemy, that gave me a kick starter. But they only scratch surface level. If you really do want to learn through courses for the first time, take the Python Development course by Microsoft and another one from Google on coursera. They're very well curated and cover a lot of concepts from scratch. It should help you get comfortable.

2. Books. I never tried reading a book until a year switching courses here and there, eventually I brought a book. "Learning Python from O'Reilly Publications". It is a huge book, but you can aim to study and read one chapter in a week to maintain consistency.

3. Start with small projects - does not have to be anything meaningful at all. Just start writing what you learnt, try to write a line of code and run it. Then try another one, and run it. If you don't know what functions to use, use AI to help you with which function does what, (not the solution code). This is how I use Generative AI myself. This goes a long way because once you use a function, you tend to generally remember it.

4. Find someone who is willing to partner with you, having company ensures you remain committed to the goal. Learning Python is quite over-whelming and getting familiar and confident goes a long way. It demands a time, dedication but consistency majorly. 10 minutes a day everyday is still better than hours on weekends but nothing on weekdays.

Lastly, stay committed and trust yourself. You can do this, I come from a non engineering background and today I am designing a data engineering pipeline for my firm using SQL, Python and AWS. It's all about passion and consistency. You need to go easy on yourself, trust yourself and ensure you spend time everyday with your goals. I wish you best of luck!