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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.
Learn Algorithmic Trading - Build your Career in Algorithmic Trading
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®:
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.
An Introduction for Statistical Learning (with R examples):
Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani -
This book presents some of the most important modeling and prediction techniques in Statistical Learning as well as exploring relevant applications.
Quantitative finance with R and cryptocurrencies:
Dean Fantazzini -
The aim of this book is to provide the necessary background to analyse cryptocurrencies markets and prices using quantitative techniques.