Getting Started with Data Science
My journey from a first Python script to nine IBM data-science certificates.
Data science has always fascinated me.
How it began
In 2024 I sat down with a Python script and decided to learn how machines actually find patterns in data, not just how to call a library on top of one.
The IBM track
Nine certifications later — Tools, Methodology, Python, SQL, Visualization, ML in Python, the capstone project, and the full Professional Data Science specialization — I have a working language for the field.
Certifications don't prove you're good. They prove you sat with the material long enough to be honest about what it does.
The real test was building MyML, my machine-learning library written in pure C. Tensor ops, autograd, neural-net layers, optimizers — all of it from scratch. It trains a network to solve XOR. That's small, but it's mine.