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Python for finance & quant in 10 weeks

161 lessons · ~100h · 10-12 weeks · intermediate

⏱ How long will this take you? ~100h total → 7 weeks at 15h/week (the title's pace) · 10 weeks at 10h/week · 25 weeks at 4h/week (45 min/day, 5 days). Pick the row that matches your real schedule.

Your progress

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Outcome

Pull market data, clean it with pandas, run vectorized risk + return analysis, and build one notebook that mimics a real desk's daily report.

Why this path

Quant + fintech roles pay 1.5-2× generic dev salaries, but the entry signal is specific: 'can you read pandas + financial math + an API.' This path is built around that exact pattern — no LLMs, no SaaS, just the daily toolkit of people inside trading and fintech.

Resume bullet (when finished)

“Built a vectorized portfolio analytics notebook in pandas: fetched 5y of daily prices, computed log returns + rolling vol + drawdown + Sharpe, exported a PDF report for stakeholders.”

Stages (4)

STAGE 1

Module 1 · Python + Decimal math (weeks 1-2)

~20h · 51 lessons

+ 45 more lessons in this stage

STAGE 2

Module 2 · pandas + numpy for finance (weeks 3-5)

~30h · 40 lessons

+ 34 more lessons in this stage

STAGE 3

Module 3 · APIs, scraping, scheduling (weeks 6-7)

~22h · 30 lessons

+ 24 more lessons in this stage

STAGE 4

Module 4 · Modeling + reports (weeks 8-10)

~28h · 40 lessons

+ 34 more lessons in this stage

Ready to start?

Start with the first lesson →