Mission
Build the math, statistics, and finance foundations needed to move from software engineering into quant work. Each course stacks the core concepts and practice needed for interviews and day-to-day analytical tasks.
Land a quant role.
~11 hours · 4 courses
Course 1 · ~150 min
Solve standard probability questions, compute expected values and variances, and explain conditional reasoning clearly
Quant roles test probability heavily, and this foundation supports both interview performance and later modeling work
Course 2 · ~160 min
Run and interpret basic statistical analyses on market-like data and distinguish signal from noise
Quant work depends on making defensible conclusions from messy data, not just coding models
Course 3 · ~180 min
Clean and analyze price series in Python, compute return and volatility features, and identify basic time-series patterns
Most quant workflows involve financial time series, so this turns your programming background into domain-specific analysis skills
Course 4 · ~140 min
Explain how major instruments work, compare common risk measures, and reason about basic pricing and hedging relationships
To land a quant role, you need domain fluency in how markets behave and what your models are actually trading