Interactive slides that execute Python in your browser, an AI tutor that answers questions about the page you are reading, and live six-week cohorts that turn self-study into a finished credential.
Two Python · two Statistics. Run in your browser, no install required.
Pure Python — variables, control flow, functions, classes, files. Coding practice in every chapter. 5 ch · ~6 hours.
Open course → Python · AdvancedClasses, morphisms, network programming. OOP at depth and how Python talks to the internet. 5 ch · ~12 h.
Open course → Statistics · BeginnerEDA → probability → random variables → sampling distributions. Animation-rich, light on code. 6 ch.
Open course → Statistics · InferenceConfidence intervals, hypothesis testing, simple linear regression. Visual intuition over code. 7 ch.
Open course →Most online courses give you only one of these three. Eumathe Academy gives you all three in the same product, because no single one alone is enough to build durable expertise.
Every example runs in your browser through an embedded Python engine. Edit a parameter, see the chart update. Predict the output, then reveal it. Debug intentionally broken cells against hidden tests.
A chat sidebar that knows the chapter you're reading. Ask why your code threw NaN, ask for a worked example with different numbers, or ask to re-explain a concept in plain language — instantly. Available to cohort and premium members.
Optional weekly deadlines, AI-led Q&A sessions, and a signed completion certificate. Cohort accountability is what carries self-study from page one to a finished project.
The free courses above teach the foundations. The paid cohort programs and upcoming specialised courses below build on them — paced schedules, AI tutor, peer cohort, and a signed completion certificate.
From DataFrames to decision models. Covers pandas, NumPy, SciPy, Matplotlib in depth; linear regression with CAPM and Fama-French; clustering for customer segmentation. Worked examples use real market data.
See the full catalogue — Quantitative Trading, Risk Management, Network & Social Media Analytics →
Each chapter is structured prose with code cells interleaved. Click Run on any cell to execute it in your browser; edit numbers, re-run, and watch the chart change.
Predict-then-reveal cells force active recall. Debug-yourself exercises have hidden tests that pass only when your fix is correct. Spaced-repetition cards bring back what you've forgotten. Personal feedback from the instructor is part of the premium tier.
The AI tutor lives on every page. It knows the chapter you're on, the code you just ran, and the errors you just saw — so its answers are specific to your context, not generic. And the slides themselves update with your questions — over a cohort, the deck grows the explanations the cohort actually asked for.
Start free. Pay per course when you want more. Subscribe to Premium for AI tutor + adaptive content across every course in your account.
forever
Four foundational courses (Python & Statistics). Interactive slides, in-slide practice. No AI tutor, no adaptive content.
per course
Buy individual advanced courses (BA, Quant Trading, Risk, NSMA). Same slides + practice as Free, but applied to the paid course.
monthly subscription
AI tutor on every slide. Adaptive slides + adaptive practice. Generous monthly token allowance. Applies to every course you have access to. Cancel anytime.
Eumathe Academy is the personal teaching channel of Prof. Xuhu Wan. Every course is developed independently — designed from scratch for self-directed learners, expanded with the historical and economic context that textbooks usually omit, and made fully interactive so you can learn at your own pace.