How does Fran Montemurro's method outperform traditional study habits in data science?

Fran’s approach focuses on active recall, deliberate practice and realistic simulations instead of passive “busy work” like endless rereads, highlighting or over‑reliance on timers (e.g., Pomodoro).

For data science, that means:

1. Solving coding and analytics problems from memory, then checking
2. Building small projects that mirror real workflows
3. Using “study with me”–style deep work blocks to reduce context switching

Traditional habits often feel productive but do not push your brain to retrieve and apply knowledge, which is what actually drives mastery in technical fields like data science.

What is your current study routine for data science like?