Quant Methods
Create a quantitative strategy using market data, validation, portfolio construction, and monitoring.
$449 · 10 weeks · · Python-based
Enroll in Quant Foundation →One payment · 7-day refund window from purchase
The problem this course solves
Most investors make decisions reactively.
Most investors make decisions reactively chasing headlines, reacting to drawdowns, trusting claims they can't evaluate. Quant Foundations replaces instinct with a structured, repeatable process.
For
Developers, analysts, and career-switchers who know or are willing to learn Python.
Not For
Complete beginners with no coding background (start with Foundations first).
The problem this course solves
This isn't a certificate it's a portfolio project.
By the end, you'll have a real strategy repository you can point to in an interview or show a hiring manager
- Production-ready components: No scratchpad Jupyter notebooks. Your pipeline is isolated and unit-tested.
- Defensible validation steps: Built to prevent data leakage using walk-forward, purged cross-validation.
- CIO-ready Investment Memo: Articulate qualitative and quantitative risks like a professional fund strategist.
Structured, documented, and reproducible the same shape a real quant research repo takes, not a one-off script.
Curriculum
10 weekly modules
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- Environment, exploratory analysis, repository setup
- Market structure and stochastic-process intuition
- Market data pipeline, caching, corporate actions
- Dirty data and quality checks
- Bias detection and pipeline review
- Honest backtesting — walk-forward / purged CV, tearsheets
- Factor scoring and asset selection
- Portfolio construction and optimization
- Rebalancing, execution approximations, monitoring
- Crisis protocol and completing your Investor Operating System
Worried your Python isn't strong enough?
You'll need data-analyst-level pandas/NumPy and basic Git. If
you're not quite there, a bridge/prep path can get you ready first.
What's included
Everything you need, nothing you don't
- Full 10-week course library with weekly demo notebooks and labs
- Downloadable resources
- Community/chat access
- Mobile app access
- Completion certificate
Technical stack
Prerequisites
Practical Python (pandas, NumPy, basic plotting), basic Git, introductory linear algebra/statistics, and a basic understanding of stocks, bonds, and spreads. Quant Foundations is recommended but not required.
Format & support
Self-paced, staged onboarding — Lesson 1 immediately, Lesson 2 next day, full library ~day 7. Community discussion and peer help throughout; instructor support is best-effort, not a guarantee of review on every submission.
Sample validation report
Most backtests lie by omission. Yours won't.
Every strategy you build gets run through the same honesty checks a professional would use walk-forward validation, purged cross-validation, and a full performance tearsheet showing returns, drawdown, and where the strategy actually broke down.
If it doesn't hold up, you'll know why and that's the point.
Who's teaching this
Instructor credibility
Our teaching team's background spans quantitative work at major banks and private hedge funds, with years of experience teaching and mentoring students from universities and independent professional communities.
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Quant Methods
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Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
Level 2 · Python required
Quant Methods
$449 · 10 weeks
One payment, full access to the 8-week course, community, and mobile app.
Testimonial
From students who built their own system
I'd tried to teach myself this from scattered tutorials for a year. Having a real validation workflow laid out end-to-end changed how I think about backtesting.
Renee K.
CFA at Edtech
I'd tried to teach myself this from scattered tutorials for a year. Having a real validation workflow laid out end-to-end changed how I think about backtesting.
Renee K.
CFA at Edtech
I'd tried to teach myself this from scattered tutorials for a year. Having a real validation workflow laid out end-to-end changed how I think about backtesting.
Renee K.
CFA at Edtech
Frequently Asked Questions
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Start building your Investor Operating System.
One payment, full access to the 8-week course, community, and mobile app.
Start with Quant Foundations →
Quant Degree provides education, tools and practice. We do not provide investment
advice, guarantee strategy returns or guarantee employment outcomes.
