Data science is built upon a foundation of mathematics, statistics, and programming.

First, I focused on intuitively grasping fundamental concepts before diving into technical details. This is important to avoid being overwhelmed. For instance, I tackled probability by imagining a simple coin-flipping scenario, connecting abstract ideas to the real world.

This is perfect because we can do that in real life. Then, I wrote down these concrete examples to know to forget the context of these complex concepts. You can write, and even draw! I prefer the second technique to teach.

Rolling dice is also a great way to understand probability fundamentals