Description
Did you know Python is one of the best solutions to quantitatively analyze your finances by taking an overview of your timeline? This hands-on course helps both developers and quantitative analysts to get started with Python and guides you through the most important aspects of using Python for quantitative finance. With numerous practical examples through the course, you will develop a full-fledged framework for Monte Carlo, which is a class of computational algorithms and simulation-based derivatives and risk analytics.
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- Access 6 lectures & 5.5 hours of content 24/7
- Understand Python & its various data structures
- Work with Python libraries & tools designed specifically for analytical and visualization purposes
- Get an overview of cash flow across the timeline
- Learn concepts like Time Series Evaluation, Forecasting, Linear Regression & more
- Compute Value at Risk (VaR) & simulate portfolio values using Monte Carlo Simulation
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