Course Catalog

Master quantitative finance through hands on learning. Start with the fundamentals and progress through practical topics to the advanced material that stands out in interviews.

Learning Path
Interactive
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8 courses
Learning Path
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8 courses
Structured pathway

Learn in the right order

Start with the essentials, move into practical quant topics, then finish with the advanced material that stands out in interviews.

Essentials

Core foundations

The three courses every serious quant candidate should complete first.

beginnerNot started
Pro
Python for Quantitative Finance
Master Python for quant finance applications: NumPy, pandas, data workflows, and practical interview-style coding.
GitHub projects
0/10 lessons0/3 projects
Requires: None
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beginnerNot started
Pro
Mathematical Foundations for Finance
Interview-first maths for quants: linear algebra, optimisation, and stochastic foundations.
Theory focused
0/15 lessons
Requires: Python for Quantitative Finance
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beginnerNot started
Pro
Probability & Statistics for Quants
Interview first probability training: expectation, indicator variables, Bayes traps, estimation, and pattern recognition.
Theory focused
0/13 lessons
Requires: Mathematical Foundations for Finance
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Good to know

Practical quant tools

High value topics that show you can apply the core theory to real quant workflows.

intermediateNot started
Pro
Options Pricing & Greeks
Core derivatives intuition: payoff diagrams, put-call parity, Black-Scholes, and the Greeks.
Theory focused
0/8 lessons
Requires: Probability & Statistics for Quants
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intermediate
Under construction
Time Series Analysis for Trading
Stationarity, ARMA-style intuition, volatility, and backtesting foundations for signals and forecasting.
This course is under construction and will open when the curriculum is ready.
Requires: Probability & Statistics for Quants
Coming Soon
Show off at interviews

Advanced differentiation

The deeper material that helps you stand out when interviewers push beyond the basics.

advancedNot started
Pro
Methods for Pricing Derivatives
Move from Black-Scholes intuition to Monte Carlo, trees, finite differences, and Fourier pricing like a real quant.
Theory focused
0/11 lessons
Requires: Options Pricing & Greeks
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advancedNot started
Pro
Market Microstructure & High Frequency Trading
Limit order books as stochastic systems: tractable models, scaling limits, and how intraday volatility links to order flow.
Theory focused
0/9 lessons
Requires: Time Series Analysis for Trading
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advancedNot started
Pro
Machine Learning for Trading
Leakage-safe features, temporal validation, and cost-aware signals — not generic ML with tickers glued on
2 GitHub projects
0/23 lessons0/2 projects
Requires: Market Microstructure & High Frequency Trading
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