Learn Advanced Data Science applied to Quantitative Finance
The next Quant Bootcamp starts on July 7
Animations, Code, and Mathematics for Deeper Learning
Lab:
with integrated learning channels
Animations:
to boost intuition
Mathematics:
for deeper learning
What you will Learn
Exhaustive topics in homogenous mathematical notation
Advanced Data Science
description TBD
Analytically tractable foundations of advanced AI
Static, causal, advanced AI modeling
Dynamic, causal, advanced AI modeling
Quantitative Finance
Value and random payoff of individual instruments
Portfolio risk measures and performance attribution
Portfolio construction and trade execution
How you will Learn
With our Instructors, or Self-paced
With our Instructors
Quant Bootcamp
4+2-day, full-immersion, overview course
at NYU/streaming
Quant Marathon
Multi-course/semester, part-time, in-depth,
online program with our instructors
Self-paced
E-Textbook
Interactive Complementary Learning Resources
Our Stats
3,500 pages
E-Textbook
Overarching notation across Data Science and Quantitative Finance
120,000 lines
Python Code
All case studies and examples implemented on Jupyter Lab, no installation required
3,200 alumni
Students
Quant Bootcamp-ers and Quant Marathon-ers, since 2009
Testimonials
“I liked the number of topics that were covered and the depth along with the documentation support for each of these topics...” see more
Tejus Setlur
Quantitative Analyst
“The structure of the course is well thought out, with a mix of theory sessions and then applicable case studies where we could apply the theory in practice...” see more
Simon Kanani
Quantitative Data Analyst / Developer
“The Bootcamp is great challenge (learning a lot of new concepts) and quizzes designed to test understanding...” see more
Emlyn Flint
Derivatives & Quant Researcher
“I liked very much the scope and the clarity of complex topics. Also the alignment of notation and definitions of so many topics is impressive...” see more
Stephan Krushev
Data Scientist
“I liked the breadth of the arguments that are presented and also how in-depth they are discussed...” see more
Alessandro Pogliani
Quantitative Trader
“Practice sessions were nice and guests, and of course the lab is very well done!...” see more
Federico Ron
Multi-Assets Quantitative Analyst
“Hi, I took the ARPM Quant Marathon in 2019, lasting one year and I can share with you my personal experience. First of all, I can confirm that it is really worth it....” see more
Daniele Pennesi
Portfolio Manager