Look how far you've come. You can now:

• Store and combine values with variables, numbers, strings, and booleans.
• Make decisions with if, and repeat work with loops.
• Organise data in lists, tuples, dicts, and sets.
• Write your own functions and classes.
• Handle errors gracefully with try/except.
• Use the standard library, read JSON, work with files, and shape real data.
• Set up projects with modern tools and share them on GitHub.

That's a genuine foundation for data science and AI. The last two lessons point you to what's next.