Build quantitative research skills through practical work
QuantSteps helps aspiring quantitative researchers organise their learning and turn core ideas into work they can explain. The platform combines structured lessons, Python practice, an interactive returns lab and guided research projects.
Try a concrete starting point
Free starter material introduces returns and drawdown. Learners can try a lesson and explore the returns lab before committing to the wider curriculum. This provides a small research context in which to connect terminology, observations and explanations.
Develop foundations
The curriculum covers returns, risk, probability and Python foundations. These topics give learners a vocabulary for thinking about data and experiments. Practical work encourages them to relate definitions to calculations and to explain what a result means in the setting of the question being studied.
Move from questions to reproducible projects
Guided projects connect research questions to data checks, baseline comparisons, experiments and reproducible code. Learners also practise writing research briefs, making the assumptions, results and limitations easier to discuss. The code and explanation belong together: a calculation is more useful when someone can understand how it was produced and what evidence supports it.
One way to use the material is to work through a lesson, attempt the related exercise and write a short explanation before continuing. For a project, learners can concentrate on the question, the data checks, a baseline and a clear description of the experiment. This keeps attention on research reasoning as well as implementation.
Understand internship requirements
The AI job-description explainer translates quantitative research internship requirements into plain English and connects them to relevant learning topics. It helps students understand unfamiliar role descriptions and identify subjects to study alongside their practical work.
Intended audience
QuantSteps is designed for students and people preparing for quantitative research roles. It provides an organised route through foundational ideas and project practice, with opportunities to connect lessons to reproducible code and written explanations. Free starter material lets prospective learners see the approach first.
Plans
Free starter content is available. Pro opens the wider curriculum and research projects at $29 per month or $199 per year. Visit https://quantsteps.app/ for the current starter lesson, returns lab, curriculum and pricing.
