
Presented by Daniel Duffy
An in-depth introduction from PDE model specification through efficient and accurate finite difference schemes for a range of one-factor and two-factor option pricing problems

Presented by Dr Mayank Rasu
Build fully automated trading system and Implement quantitative trading strategies using Python

Presented by
Learn Algorithmic Trading - Build your Career in Algorithmic Trading

Presented by Dr Joseph Santarcangelo and Saeed Aghabozorgi
An intermediate course exploring machine learning techniques and applications using Python.

Presented by
Designed to meet the enormous rise in demand for individuals with knowledge of Python in the financial industry, students are taught the practical coding skills now required in many roles.

Aije Egwaikhide
Senior Data Scientist, IBM

Aleks Haecky
Writer, Developer Advocate, and Editor of All Things — also at Google.

Alex Aklson
Senior Data Scientist, NetSuite

Andrey Vladimirov
Head of HPC Research at Colfax International

Asser Samak
Course developer

Cameron Connell
Mathematician, Statistician, and Quantitative Financier

Daniel Duffy
Founder, Datasim Education BV

Dick Wall
Principal Software Engineer at Hopper.

Emiliano Papa
Deutsche Bank

Ernest P. Chan
Founder, PredictNow.ai

Joseph Santarcangelo
Data Scientist, IBM

Marco Neffelli
Quantitative Analyst, Alpha Real Capital

Martin Odersky
Creator of Scala

Matthew Fried
Lecturer, programming and derivatives at Queens College and University of Connecticut

Mayank Rasu
Vice President, Barclays Investment Bank

Omar Bazara
Structured Rates Model Control, Morgan Stanley

Rav Ahuja
Global Program Director, IBM

Richard Cook
Software engineer, Tableau Software

Romeo Kienzler
Chief Data Scientist, IBM

Saeed Aghabozorgi
Data Scientist, IBM

Sean McQuillan
Developer Advocate, Google

Svetlana Levitan
Senior Developer Advocate, IBM

Yves Hilpisch
Founder and Managing Partner, The Python Quants