How Can I Prepare for Computer Science in University?

Before university, getting a grip on Python fundamentals, data structures, and some basic statistics is key. Work on small projects like data analysis with real datasets or visualizations. Skip the certificates for now—projects and the understanding you gain from them are what really matter.

It's awesome you're planning ahead! My suggestion is to immerse yourself deeply in Python. Don’t just follow tutorials—try to build and code from memory as this will increase your fluency and confidence. Building one substantial project before university can make a huge difference. Forget certifications for now; a solid project is worth much more. Focus on developing your problem-solving skills, as they’ll serve you well in CS.

While Python is great, I’d recommend also learning Java as it’s popular and helps with understanding OOP concepts which you'll definitely encounter in school. Java has frameworks like Spring that are really useful. Adding JavaScript and React for front-end development is also a smart move. Make sure to grasp how databases (like SQL) work and familiarize yourself with creating your own APIs. Understanding the full stack and client-server interactions will set a strong foundation for you.

Focusing on Python is a great start for a data science path! It’d be wise to not only improve your programming but also strengthen your math skills, specifically statistics and linear algebra as they are crucial for data analysis. For projects, consider exploring real datasets which are way more valuable than just working on tutorial examples. Scraping data online or analyzing something like your personal data could be educational and fun! As for certifications, I wouldn't stress those right now. Real-world coding experience will do more for you than any certificate at this point.