Welcome to EcoFinLearn

Python & SQL for Quantitative Finance

ecofinlearn — sqlruns live in lesson 1

sql> SELECT release_date, value...> FROM macro_indicators...> WHERE indicator_name = 'CPI_YoY'...> ORDER BY release_date DESC LIMIT 5;

release_date   value
────────────   ─────
2023-12-12       3.4
2023-11-17       3.1
2023-10-27       3.2
2023-09-29       3.7
2023-08-25       3.7

5 rows · US CPI inflation, year-over-year (%)sql>

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🐍Python Foundations9 lessons · free 🐼Data Manipulation7 lessons · free 🤖Machine Learning9 lessons · free 🗄️SQL Foundations8 lessons · free 📊Advanced Finance SQL6 lessons · free 🖥️IT Essentials10 lessons · free

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Learn Python & SQL for quantitative finance — free, in your browser

EcoFinLearn teaches the coding every quant, analyst and economist actually uses — Python, pandas and scikit-learn, plus advanced SQL — on real market and macro data. Every lesson runs in your browser with no install and no setup, and each one has a hands-on exercise you complete yourself, checked instantly. It is free to learn, with a verified certificate you can add to LinkedIn. Built by Sitraka Forler, a lecturer at Durham Business School.

Six tracks, from your first line of code to a real backtest

Python Foundations — Variables, Control Flow & Functions
Data Manipulation — Pandas & Time-Series for Finance
Machine Learning — Scikit-learn for Asset Return Prediction
SQL Foundations — Relational Database Basics for Finance
Advanced Finance SQL — Window Functions, Macro Joins & Analytics
IT Essentials — From Laptop to Production

Free tools & references — no signup

Finance & data glossary — 60 terms (Sharpe ratio, CAPM, VaR, SQL window functions…) with the formula and runnable code.
Research library — a curated, citable reading list of seminal quantitative-finance papers.
Thesis data guide — how and where to source a clean, point-in-time dataset for a dissertation.
Quant Notes — short weekly reads, each with one machine-verified snippet.