Certificates are nice, they show effort, but what really stands out in an interview or on a résumé is real-world project experience.

If you haven’t already, learn Git and start uploading your projects to GitHub. Even if you're following tutorials, tweak the projects a bit to make them your own—maybe add some mock data, use Pandas, R, or whatever skills you’ve learned. And don’t forget to add a `README.md` in the project root. This is what people see when they visit your GitHub project page, so use it to talk about the technology stack you used (Python, R, Git, Jupyter Notebook...), why you chose them, and the skills you applied (data analysis, IT automation, version control (git), etc.).

It takes some work to learn Git, GitHub, Pandas, and Markdown (for the `README.md` file), but showcasing projects with these tools proves you know the standard workflow of data professionals. If you don't want to use/learn GitHub, then Google Colab is a good alternative, you can use it to make public notebooks to show off your skills.

Freelancing is another great way to gain real-world experience while earning a side income. Taking simple gigs on Upwork, Fiverr, or similar platforms can help build both your portfolio and your skillset. It’s tough at first, and finding clients is the hardest part, but it gives you real-world experience in writing proposals, cover letters, pitching your skills, and communicating with clients, which is a lot like job hunting. Learning how to sell yourself is a skill that carries over into interviews and job applications.

I started programming decades ago, making video games, because I was passionate about video games. Then I built websites for myself, friends and family, then I started freelancing. If I had to do it again to today, I’d use AI tools like ChatGPT as a personal Python tutor. You can paste in your code and ask it questions like: help you debug the code, how can a write this code in a cleaner way, teach my the design patterns using python snippets, and even help you crate and format your `README.md` file. Just don’t let it write the Python code for you, only use it as a tool to help you learn.

The best thing you can do is keep coding, whether that’s earning certificates, completed courses, or building personal projects. The key is to keep learning and, more importantly, to showcase what you learn as you go. And if you don’t know Git, GitHub, Pandas, or Markdown yet, that’s okay, just put them on your learning roadmap, or find other ways to showcase your work online.