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QuantSteps is a self-paced learning platform for quantitative research, designed to help learners build skills in financial data analysis and explain their research clearly. Lessons cover foundations such as investment returns, risk, probability, and Python, then guide learners through turning questions into data-based tests and research projects. Hands-on exercises include calculating returns and drawdowns, comparing investment paths, evaluating research methods, and considering data limitations, timing, and trading costs. Learners can develop reproducible code, review results, and organize their findings into research briefs. A short interactive preview introduces quantitative reasoning through a returns-and-risk example and does not require coding or an account.
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