Learning data structures and algorithms follows a predictable progression through four stages. Initially, beginners rely heavily on solutions to understand approaches. After 100 problems, patterns become recognizable. By 200 problems, developers can predict solution directions. Around 500 problems, independent problem-solving emerges. The journey varies for everyone, but consistent practice transforms fear into curiosity and builds transferable problem-solving skills beyond coding.