Overwhelmed

First, let me do a quick summary about how I reached this point: During my work in Silicon Valley at TOTVS Labs, I had the opportunity to spend some time with Mario Filho and learn from one of the best guys in the field. It was a good experience and I understood the foundation of his work and his thought process and more importantly, that I don’t really need to understand exactly everything to give me the opportunity to play with it. He helped me break the barrier that I had about data science.

He insisted that I should start learning data science by competing in any Kaggle competition. At first, I was a little reluctant because I knew what I was getting myself into and I knew that I’m not ready to go deeper, and here is why:

I started my journey into data science by:

✔️ After spending 3 weeks studying in Dataquest (Very good, but boring), I realized that I need a stronger statistics and probability base;

✔️ 1 more week reading Head First Statistics, and then I understood what I was getting myself into: Maths ➡️ Statistics ➡️ Probability ➡️ Distribution ➡️ Regression ➡️ Bayesian Theorem ➡️ Implementing a machine learning algorithm ➡️ 💥 No, no, no, not yet!

Here we go…, I can see my future…, It doesn’t look good, 6 months to a year of “deep learning” (pun intended) before risking anything…

“Not this time Conrado!”