QuantSteps

QuantSteps is an online learning platform focused on quantitative research, offering a structured path for learners who want to build the foundations, practice, and project work needed to pursue a quant career. It positions itself as a clearer alternative to scattered learning by connecting returns, risk, probability, Python, and research methods into a sequence that progresses from small calculations to guided research projects. The target audience includes aspiring quantitative researchers, students, career changers, and professionals in finance, data, or software who want tangible evidence of their reasoning. Core features include a free preview lesson, a four-lesson starter course, a returns lab, and Pro guided research projects such as momentum research and Treasury yield curve research. Content features emphasize reproducible code, data audits, baselines, limitations, trading costs, held-out data, and written research briefs. User experience is self-paced and accessible: the preview takes about 10-15 minutes, no account or card is required, and browser storage can keep progress on device, while a free account syncs supported drafts and progress. Technical features include Python exercises, simple return calculations, drawdown analysis, signal testing, dated Treasury yield data, code checks, ZIP exports, and project-based workflows that help learners explain what they tested, what they found, and what they would improve.