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      The Quant Bootcamp is the most comprehensive overview course in Advanced Data Science and Quantitative Finance.

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  • Lab

    • Lab

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      Multi-channel E-textbook on Advanced Data Science and Quantitative Finance

      Data Science
      Mathematical Statistics for Finance, Linear Mean-Covariance Statistics, Probabilistic Machine Learning, Time Series and Sequential Decisions

      Quant Finance
      Financial Engineering, Portfolio and Enterprise Risk Management, Portfolio Construction and Trading

      Primers
      Mathematics, Finance and Python

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Lab

Multi-channel E-textbook on
Advanced Data Science and Quantitative Finance

E-Textbook

Theory icon
Theory Mathematical formalism, for faster learning
Case studies icon
Case studies Applications, for deeper learning

Interactive Complementary Learning Resources

Code icon
Code Learn by doing, no installation
Animations icon
Animations Intuition in motion
Slides icon
Slides Summary of all key items
Proofs icon
Proofs Don't believe, verify
Exercises icon
Exercises Code based and analytical
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ARPM Lab - Overview

The Lab is a multi-channel e-textbook, designed to be the complete study resource for the ARPM curriculum:

Advanced Data Science

Quantitative Finance

Mathematical Statistics for Finance Mathematical Statistics for Finance
Linear/probabilistic statistics and decision theory for estimation/sequential decisions
Linear Mean-Covariance Statistics Linear Mean-Covariance Statistics
Linear/probabilistic statistics and decision theory for estimation/sequential decisions
Financial Engineering Financial Engineering
Present value and future random payoff of individual instruments
Probabilistic Machine Learning Probabilistic Machine Learning
Linear/probabilistic statistics and decision theory for estimation/sequential decisions
Portfolio and Enterprise Risk Management Portfolio and Enterprise Risk Management
Risk measures, performance attribution, (stochastic) stress-testing
Time Series and Sequential Decisions Time Series and Sequential Decisions
Linear/probabilistic statistics and decision theory for estimation/sequential decisions
Portfolio Construction and Trading Portfolio Construction and Trading
Static and dynamic strategies with optimal trade execution
Mathematics Primer Mathematics Primer
Functional analysis, optimization theory, probability
Finance Primer Finance Primer
Asset classes fundamentals, performance definitions
Python Primer Python Primer
Syntax, data types, structures, functions

The Lab comprises Theory and Case Studies, supported by Code, Animations, Slides, Proofs, and Exercises, cross-referenced and mutually integrated, presented in unified, succinct mathematical notation.

Theory icon

Theory

An encyclopedia of Modern Quantitative Finance
Your resource to learn by abstract principles
2,068 pages of explanations with formulas.

Theory image
Case studies icon

Case studies

Applications to practice beyond the Theory
Your tool to learn by real-world examples
19 large scale analytics with real data.

Case studies image
Code icon

Code

Python coding language, no installation
Your environment to learn by doing
68,537 lines of Python code.

Code image
Animations icon

Animations

Simulations from data using code
Your device to learn by visualization
196 visualizations of complex models in motion.

Animations animation

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Slides icon

Slides

Summary of all the learnings
Your source to learn by key items
2,932 multimedia summaries of all the materials.

Slides slide
Proofs icon

Proofs

Proofs to support the analytical results
Your guide to learn by induction
1,857 analytical derivations to support the Theory.

Proofs image
Exercises icon

Exercises

Exercises pen & paper and codes
Your test to verify your knowledge
200 analytical exercises to verify the Theory.

Exercises image
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