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There is no single path into quantitative research. This article outlines several common learning trajectories for students and early-career professionals interested in systematic analysis.
We discuss foundational skills, tooling considerations, and the importance of iterative learning through small, well-defined projects. Emphasis is placed on understanding concepts before scaling complexity.
The objective is to frame quantitative research as a discipline that rewards patience, curiosity, and structured thinking.
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