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Tools for Data Science > IBM
Presented by Aije Egwaikhide, Romeo Kienzler, and Svetlana Levitan
In this course, you'll learn about Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio.
Executive Programme in Algorithmic Trading (EPAT®)
Presented by
Learn Algorithmic Trading - Build your Career in Algorithmic Trading
QuantLib Python Cookbook

QuantLib Python Cookbook:
Quantitative finance in Python.

Goutham Balaraman and - Luigi Ballabio
A hands-on, interactive look at the QuantLib library through the use of Jupyter notebooks as working examples.

Foundations of Computational Finance with MATLAB®

Foundations of Computational Finance with MATLAB®:
Graduate from Excel to MATLAB® to keep up with the evolution of finance data.

Ed McCarthy -
Foundations of Computational Finance with MATLAB® is an introductory text for both finance professionals looking to branch out from the spreadsheet, and for programmers who wish to learn more about finance.


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