This course takes you from the trading floor's vocabulary to your first backtested strategy. You will learn how professional quants think about markets: as data to be measured, modelled and monetised,...
Instructor: Dr. Aris Vance
This course takes you from the trading floor's vocabulary to your first backtested strategy. You will learn how professional quants think about markets: as data to be measured, modelled and monetised, rather than stories to be guessed at.
Every module is built around one concrete question — "how risky is this position?", "is this edge real or noise?", "which asset should I hold more of?" — and answers it with the tools an analyst actually uses: Python, statistics and disciplined experimentation.
You will build, step by step:
By the end of the course you will have a complete workflow for turning market data into a defensible trading decision — and a clear map of the topics (stochastic calculus, options, factor models) you can tackle next. The only prerequisites are basic Python and high-school mathematics; no prior finance knowledge is assumed.
3 sections • 13 lectures • 1.6 hours total length
Aris spent a decade on a European fixed-income desk building yield-curve and volatility models before moving into teaching full-time. He has trained new analysts at two major banks and judges a well-known quant interview competition every year.
His teaching style is deliberately practical: every theorem is introduced because a real pricing or risk decision needs it, and every project ends with a code review, not a certificate.
₹4,999
This course includes:
