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
