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Quantitative Risk Management in Python

DataCamp, Online
Length
4 hours
Next course start
Start Anytime! See details
Course delivery
Self-Paced Online
Length
4 hours
Next course start
Start Anytime! See details
Course delivery
Self-Paced Online
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Course description

Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python.

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Start Anytime!

  • Self-Paced Online
  • Online
  • English

Training Course Content

Managing risk using Quantitative Risk Management is a vital task across the banking, insurance, and asset management industries. It’s essential that financial risk analysts, regulators, and actuaries can quantitatively balance rewards against their exposure to risk.


This course introduces you to financial portfolio risk management through an examination of the 2007—2008 financial crisis and its effect on investment banks such as Goldman Sachs and J.P. Morgan. You’ll learn how to use Python to calculate and mitigate risk exposure using the Value at Risk and Conditional Value at Risk measures, estimate risk with techniques like Monte Carlo simulation, and use cutting-edge technologies such as neural networks to conduct real time portfolio rebalancing.

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DataCamp
Data Science Central UK Limited, 25 Luke Street
EC2A 4EE London

DataCamp

DataCamp offers a comprehensive platform for learning data skills, specializing in training individuals and teams in data science, analytics, and AI. With a focus on interactive, hands-on learning, DataCamp provides courses across key programming languages such as Python, R, SQL,...

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