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QuantSteps is an online learning platform for people building skills in quantitative research. It brings foundational lessons, Python practice, and research projects into a clear sequence, helping learners connect calculations with evidence and explanations. The learning path begins with returns, risk, probability, and the Python needed to investigate a question. Learners then compare research ideas against a baseline, examine their data, and consider what could go wrong. Projects bring code, results, and reasoning together in reproducible work and a written research brief. A free preview lesson compares two synthetic price paths that finish with the same return but have different drawdowns. The lesson takes about 10–15 minutes, requires no coding, and can be tried without creating an account or entering a payment card. The free returns lab also introduces a practical Python task with visible checks that explain the expected behavior. Guided Pro projects include momentum research and Treasury yield curve research. The momentum project examines signal timing, trading costs, and held-out data. The Treasury project uses dated yield observations and asks learners to audit the data, challenge a forecast, and explain the limits of the evidence. QuantSteps is designed for self-paced learning and career preparation through work learners can inspect, revisit, and discuss. Explore the lessons, learning path, and project details at https://quantsteps.app/.
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China
- quantsteps.app
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